CN114912790A - Method, system, equipment and medium for balanced distribution of consumption electric quantity of renewable energy - Google Patents
Method, system, equipment and medium for balanced distribution of consumption electric quantity of renewable energy Download PDFInfo
- Publication number
- CN114912790A CN114912790A CN202210502858.2A CN202210502858A CN114912790A CN 114912790 A CN114912790 A CN 114912790A CN 202210502858 A CN202210502858 A CN 202210502858A CN 114912790 A CN114912790 A CN 114912790A
- Authority
- CN
- China
- Prior art keywords
- renewable energy
- contribution degree
- peak
- peak regulation
- electric quantity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000011156 evaluation Methods 0.000 claims abstract description 26
- 238000005265 energy consumption Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 9
- 238000010248 power generation Methods 0.000 claims description 8
- 230000001186 cumulative effect Effects 0.000 claims description 5
- 238000004880 explosion Methods 0.000 claims description 3
- 239000012634 fragment Substances 0.000 claims description 3
- 230000005611 electricity Effects 0.000 abstract description 4
- 230000008901 benefit Effects 0.000 description 7
- 238000004891 communication Methods 0.000 description 3
- 239000000446 fuel Substances 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000012512 characterization method Methods 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000010977 unit operation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to a method, a system, equipment and a medium for balanced distribution of consumption electric quantity of renewable energy sources, which comprises the following steps: establishing a peak shaving contribution degree comprehensive evaluation index system according to the current strategy of each area in the dispatching control area; and based on the established peak regulation contribution degree comprehensive evaluation index system, measuring and calculating the peak regulation contribution degree of the thermoelectric generator set in each zone, and distributing the consumption electric quantity of the renewable energy sources in each zone according to the proportion. The method can comprehensively evaluate the peak shaving contribution degree of the fire-electricity units in the dispatching control area, clear the right and responsibility relation of each unit and each dispatching main body on the consumption of the renewable energy sources, and provide decision reference for the distribution of the electricity quantity of the renewable energy sources in the dispatching control area. The invention can be widely applied to the technical field of electric quantity distribution of renewable energy sources.
Description
Technical Field
The invention relates to a method, a system, equipment and a medium for balanced distribution of renewable energy consumption electric quantity, in particular to a method, a system, equipment and a medium for balanced distribution of renewable energy consumption electric quantity in a scheduling control area based on peak regulation contribution degree of a thermal power generating unit, and belongs to the technical field of renewable energy electric quantity distribution.
Background
A renewable energy policy with renewable energy power consumption responsibility weight (quota system) as a core is continuously transformed, and the formal release of relevant policies in 2019 marks a new stage with the new energy resource consumption and utilization as the core in China, so that an effective solution is provided for the current bottleneck problems of insufficient capital and the like in the stage subsidy in the development of new energy resources.
The power consumption responsibility weight of the renewable energy is defined as the proportion of the electric quantity of the renewable energy which should be reached by the provincial administrative region to the power consumption in the implementation process. For the trans-provincial independent dispatching control areas, particularly the Jingjin Tang power grid, the consumption electric quantity of renewable energy resources of each area is calculated according to the principle of apportionment of the power consumption of the whole society, and the difference of the power supply structure and the power supply characteristics of each area is not considered.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a method, a system, a device, and a medium for allocating consumed electric energy of renewable energy in a balanced manner, where the method comprehensively considers a thermal power generating unit peak shaving contribution degree evaluation index system of peak shaving rate contribution, peak shaving electric energy contribution, and deep peak shaving contribution, so as to form a method for allocating consumed electric energy of renewable energy in a scheduling control area in a balanced manner.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides a method for balanced distribution of consumption electric quantity of renewable energy sources, which comprises the following steps: establishing a peak shaving contribution degree comprehensive evaluation index system according to the current strategy of each area in the dispatching control area; and based on the established peak regulation contribution degree comprehensive evaluation index system, measuring and calculating the peak regulation contribution degree of the thermoelectric generator set in each zone, and distributing the consumption electric quantity of the renewable energy sources in each zone according to the proportion.
Further, the peak shaving contribution degree comprehensive evaluation index system comprises peak shaving contribution income based on deep peak shaving, peak shaving contribution income based on peak shaving rate and profit reduced by less power generation for the thermal power generating unit to consume renewable energy, and the calculation formula is as follows:
E＝P st +P tfl +△P fd
in the formula, E is a peak regulation contribution degree comprehensive evaluation index; p is st Accumulating contribution degree for annual peak regulation capacity of the thermoelectric generator set in the zone; p is tfl The method contributes to the annual peak regulation capability of the thermoelectric generator in the zone; delta P fd The contribution degree of annual peak regulation demand outbreak stage of the fire-electricity generating set in the zone.
Further, the peak shaving capacity accumulated contribution degree P st The calculation formula of (2) is as follows:
P st ＝Σp st
in the formula, p st The accumulated contribution degree of the daily peak regulation capacity of the thermoelectric generator set in the zone is obtained.
Further, the peak shaving ability exerts a degree of contribution P tfl Is calculated byComprises the following steps:
P tfl ＝Σp tfl
in the formula, p tfl The method can bring contribution to daily peak regulation capability of the thermoelectric generator in the zone.
Further, the contribution degree Δ P of the peak load demand outbreak period fd The calculation formula of (2) is as follows:
in the formula, N is the number of the thermoelectric generator sets in the plate area; delta p fdi And (4) the contribution degree of the annual peak regulation demand explosion stage of the ith thermal power generating unit.
Further, when the renewable energy consumption electric quantity distribution is carried out in proportion, the renewable energy electric quantity Q consumed in year in the district Renewable energy source i Comprises the following steps:
in the formula, N is the number of the fragment areas in the scheduling control area; e i Comprehensively evaluating indexes of the peak shaving contribution degree of the ith patch; q Renewable energy source The power is consumed for the renewable energy to be distributed.
In a second aspect, the present invention provides a system for balanced distribution of consumption power of renewable energy sources, comprising: the evaluation index system establishing module is used for establishing a peak shaving contribution degree comprehensive evaluation index system according to the current strategy of each area in the dispatching control area; and the consumable electric quantity distribution module is used for comprehensively evaluating an index system based on the established peak regulation contribution degree, measuring and calculating the peak regulation contribution degree of the thermoelectric generator set in each zone, and distributing the consumable electric quantity of the renewable energy sources in each zone in proportion.
Further, the peak shaving contribution degree comprehensive evaluation index system comprises peak shaving contribution income based on deep peak shaving, peak shaving contribution income based on peak shaving rate and profit reduced by less power generation for the thermal power generating unit to consume renewable energy, and the calculation formula is as follows:
E＝P st +P tfl +△P fd
in the formula, E is a peak regulation contribution degree comprehensive evaluation index; p st Accumulating contribution degree for annual peak regulation capacity of the thermoelectric generator set in the zone; p tfl The method contributes to the annual peak regulation capability of the thermoelectric generator in the zone; delta P fd The contribution degree of annual peak regulation demand outbreak stage of the fire-electricity generating set in the zone.
In a third aspect, the present invention provides a processing device, which at least includes a processor and a memory, where the memory stores a computer program, and the processor executes the computer program when executing the computer program to implement the steps of the renewable energy consumption power balanced distribution method.
In a fourth aspect, the present invention provides a computer storage medium having computer readable instructions stored thereon, which are executable by a processor to implement the steps of the renewable energy consumption power balancing allocation method.
Due to the adoption of the technical scheme, the invention has the following advantages: the method comprehensively considers the thermal power generating unit peak regulation contribution degree evaluation index system comprehensively considering the peak regulation rate contribution, the peak regulation electric quantity contribution and the deep peak regulation contribution, can comprehensively evaluate the peak regulation contribution degree of the thermal power generating unit in the dispatching control area, clears the authority and responsibility relation of each unit group and each dispatching main body on the renewable energy consumption, and provides decision reference for the distribution of the renewable energy electric quantity in the dispatching control area. Therefore, the invention can be widely applied to the technical field of renewable energy power distribution.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Like reference numerals refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flow chart of a method for allocating consumed electric quantity of renewable energy in an equalizing manner according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention, are within the scope of the invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The invention provides a thermal power generating unit operation angle-based renewable energy consumption electric quantity balanced distribution method in a scheduling control area, which can comprehensively evaluate the peak regulation contribution degree of a thermal power generating unit in the scheduling control area, clear authority and responsibility relations of renewable energy consumption among units and scheduling main bodies, and provide decision reference for the distribution of renewable energy electric quantity in the scheduling control area.
Correspondingly, the invention further provides a system, a device and a medium for equalizing and distributing the consumption electric quantity of the renewable energy sources.
Example 1
As shown in fig. 1, the present embodiment provides a method for balanced distribution of consumption power of renewable energy, which includes the following steps:
1) and establishing a peak shaving contribution degree comprehensive evaluation index system according to the current strategy of each area in the dispatching control area.
2) And based on the established peak regulation contribution degree comprehensive evaluation index system, measuring and calculating the peak regulation contribution degree of the thermoelectric generator set in each zone, and distributing the consumption electric quantity of the renewable energy sources in each zone according to the proportion.
Preferably, in step 1), according to the current "two detailed rules" in each scheduling control area, the peak shaving contribution degree comprehensive evaluation index system includes peak shaving contribution income based on deep peak shaving, peak shaving contribution income based on peak shaving rate, and profit of thermal power generating unit decreased in power generation for absorbing renewable energy, that is, the calculation formula of the peak shaving contribution degree comprehensive evaluation index E is as follows:
E＝P st +P tfl +△P fd
in the formula, P st The accumulated contribution degree, P, of the annual peak regulation capability of the thermoelectric generation set in the zone tfl The degree of contribution, delta P, to annual peak regulation capability of the thermoelectric generator in the zone fd The contribution degree of annual peak regulation demand outbreak stage of the fire-electricity generating set in the zone.
The terms in the formula are normalized through monetization characterization, and the specific calculation method is as follows.
The accumulated contribution degree P of the peak shaving capacity st
Peak shaving capacity cumulative contribution degree P st The method contributes benefits to thermal power generating unit peak shaving based on deep peak shaving electric quantity, and embodies the value of the thermal power generating unit in deep peak shaving. Comprehensively considering the trial operation condition of the power peak regulation auxiliary service market in each region, setting the deep peak regulation electric quantity measurement reference as the unit load rate 50%, adopting the 'step type' load rate subsection price, and in order to highlight the shortage of the peak regulation capacity, reducing the real-time deep peak regulation electric quantity price by half in a non-heat supply period relative to a heat supply period, and simultaneously, in order to simplify the processing, not counting the apportionment of the deep peak regulation cost of the thermal power unit. Specifically, the following table 1 shows.
TABLE 1 deep Peak-shaving electric quantity price of thermal power generating unit
The cumulative contribution degree p of the daily peak regulation capability of the unit i sti Comprises the following steps:
in the formula, q i Peak shaving electric quantity for the ith gear depth, wherein q 1 ＝min{(50％-δ Load factor )G i ，10％G i }×h，q 2 ＝max{0，(40％-δ Load factor )G i }×h，G i Rated installed capacity (MW), delta, for the unit Load rate Is the unit load rate, h is the unit deep peak shaving time, p i And e, carrying out deep peak shaving on the electricity price for the i gear.
Cumulative contribution degree p of daily peak regulation capacity of thermoelectric generator set in zone st ：
In the formula, N is the number of the thermoelectric generator sets in the plate area.
Cumulative contribution degree P of annual peak regulation capacity of thermoelectric generator set in zone st ：
P st ＝Σp st
② the contribution degree P of peak regulation ability tfl
Degree of contribution P of peak shaving ability tfl The method and the device contribute to the peak regulation of the thermal power generating unit based on the peak regulation rate, and reflect the value of the thermal power generating unit in tracking the load peak-valley characteristics of users. With reference to "peak load regulation auxiliary service compensation implementation rule (trial) of grid-connected power plant of kyford tang grid-connected power plant and" auxiliary service management implementation rule (trial) of grid-connected power plant in north china, "the following settings are set:
low valley load factor beta of unit i i ：
In the formula, P Vi Is the average output (MW) of the unit i during the load trough period of the day.
Daily valley peak regulation contribution delta beta of unit i i ：
In the formula (I), the compound is shown in the specification,
is the system valley load rate
The calculation formula is as follows:
in the formula, P SV The total generated average output (MW) of the system in the current day valley period; sigma G i And scheduling the total rated installed capacity (MW) of the on-grid unit in the control area for the time of the day valley.
a) Daily valley peak regulation contribution delta beta of unit i When the peak regulation rate is greater than 0, the peak regulation gain F of the ith unit i Comprises the following steps:
F i ＝△β i ×G i ×A×λ
in the formula, A is compensation unit price, the heating month is 300 yuan/MW, the non-heating month is 100 yuan/MW, and lambda is compensation coefficient, which is specifically shown in the following table.
TABLE 2. DELTA. beta i Value of compensation coefficient lambda greater than 0
The peak regulation profit F of the whole network daily peak regulation rate of the dispatching control area is as follows:
wherein N is delta beta in the scheduling control area i Fire greater than 0The number of the motor sets.
b) The daily valley peak regulation contribution delta beta of the unit i When the peak shaving rate is less than 0, the peak shaving cost of the peak shaving rate of the ith unit is apportioned to F' i ：
Wherein N is Delta beta in the scheduling control region i Number of thermal power generating units, lambda, less than 0 i The compensation coefficients are shown in the following table.
TABLE 3. DELTA. beta i Value of compensation coefficient lambda less than 0
Contribution degree p for daily peak regulation capability of thermoelectric generator set in section tfl ：
In the formula, N 1 Is delta beta within a slice i Number of thermal power generating units greater than 0, N 2 Is Delta beta i The number of the units is less than 0.
Annual peak regulation capability exertion contribution degree P of thermoelectric generator set in zone tfl ：
P tfl ＝Σp tfl
③ contribution degree Delta P of peak regulation demand explosion stage fd
Contribution degree DeltaP of peak regulation demand outbreak stage fd The method has the advantages that the method reduces the profit of power generation reduction for the thermal power generating unit to consume the renewable energy, and embodies the sacrifice value of self power generation benefit of the thermal power generating unit to consume the renewable energy.
Renewable energy electric quantity Q consumed in year in assumed scheduling control area Renewable energy source All generated by each thermal power generating unit, and the annual actual generated energy Q of the original thermal power generating unit is superposed Thermal power Can be made ofCalculating the annual average utilization hours of the thermal power generating unit under the situation of no renewable energy consumption
In the formula, N is the number of the thermoelectric generator units in the dispatching control area.
a) When the unit is actually used for hours per year
Contribution degree delta p of annual peak regulation demand outbreak stage of ith unit fdi Comprises the following steps:
in the formula, np i For the price of power on the Internet, coe i Which is the cost of electricity generation. Because the cost and price difference related to power generation in each region are large, in order to simplify the processing, the average internet electricity prices of the coal-fired unit and the gas-fired unit in 2018 in the whole country are 370.52 yuan/MWh and 584.10 yuan/MWh respectively; the fuel costs were 236.89 and 492.54 units/MWh, respectively (not considering the fuel cost of heat split).
b) When the unit is actually used for hours per year
Contribution degree delta p of annual peak regulation demand outbreak stage of ith unit fdi Is zero.
Contribution degree delta P of annual peak regulation demand outbreak stage of internal combustion engine set in block fd ：
In the formula, N is the number of the thermoelectric generator sets in the plate area.
Preferably, in the step 2), when the renewable energy consumption electric quantity is distributed proportionally, the renewable energy electric quantity Q consumed in the district year Renewable energy source i Comprises the following steps:
in the formula, N is the number of the fragment areas in the scheduling control area; e i Comprehensively evaluating indexes of the peak shaving contribution degree of the ith patch; q Renewable energy source The power is consumed for the renewable energy to be distributed.
Example 2
Embodiment 1 provides a method for balanced distribution of consumption electric quantity of renewable energy, and correspondingly, this embodiment provides a system for balanced distribution of consumption electric quantity of renewable energy. The system provided by this embodiment may implement the method for equalizing and distributing consumption electric power of renewable energy according to embodiment 1, and the system may be implemented by software, hardware, or a combination of software and hardware. For example, the system may comprise integrated or separate functional modules or functional units to perform the corresponding steps in the methods of embodiment 1. Since the system of this embodiment is substantially similar to the method embodiment, the description process of this embodiment is relatively simple, and reference may be made to part of the description of embodiment 1 for relevant points.
The embodiment provides a renewable energy consumption electric quantity balanced distribution system, includes:
the evaluation index system establishing module is used for establishing a peak shaving contribution degree comprehensive evaluation index system according to the current strategy of each area in the dispatching control area;
and the consumable electric quantity distribution module is used for comprehensively evaluating an index system based on the established peak regulation contribution degree, measuring and calculating the peak regulation contribution degree of the thermoelectric generator set in each zone, and distributing the consumable electric quantity of the renewable energy sources in each zone in proportion.
Example 3
This embodiment provides a processing device corresponding to the method for allocating consumed renewable energy balance provided in embodiment 1, where the processing device may be a processing device for a client, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, and the like, to execute the method of embodiment 1.
The processing equipment comprises a processor, a memory, a communication interface and a bus, wherein the processor, the memory and the communication interface are connected through the bus so as to complete mutual communication. The memory stores a computer program that can be executed on the processor, and the processor executes the method for allocating the balance of the consumption electric quantity of renewable energy sources provided by embodiment 1 when executing the computer program.
In some embodiments, the Memory may be a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory, such as at least one disk Memory.
In other embodiments, the processor may be various general-purpose processors such as a Central Processing Unit (CPU), a Digital Signal Processor (DSP), and the like, and is not limited herein.
Example 4
The method for allocating the balance of the consumption power of renewable energy according to embodiment 1 can be embodied as a computer program product, and the computer program product can include a computer readable storage medium having computer readable program instructions for executing the method for allocating the balance of the consumption power of renewable energy according to embodiment 1 loaded thereon.
The computer readable storage medium may be a tangible device that retains and stores instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any combination of the foregoing.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for balanced distribution of consumption electric quantity of renewable energy sources is characterized by comprising the following steps:
establishing a peak regulation contribution degree comprehensive evaluation index system according to the current strategy of each area in the dispatching control area;
and based on the established peak regulation contribution degree comprehensive evaluation index system, measuring and calculating the peak regulation contribution degree of the thermoelectric generator set in each zone, and distributing the consumption electric quantity of the renewable energy sources in each zone according to the proportion.
2. The method for balanced distribution of consumption electric quantity of renewable energy sources according to claim 1, wherein the peak shaving contribution degree comprehensive evaluation index system includes peak shaving contribution income based on deep peak shaving, peak shaving contribution income based on peak shaving rate, and profit of thermal power generating unit reduced by less power generation for consumption of renewable energy sources, and the calculation formula is as follows:
E＝P st +P tfl +△P fd
in the formula, E is a peak regulation contribution degree comprehensive evaluation index; p st Accumulating contribution degree for annual peak regulation capacity of the thermoelectric generator set in the zone; p tfl The method contributes to the annual peak regulation capability of the thermoelectric generator in the zone; delta P fd The contribution degree of annual peak regulation demand outbreak stage of the fire-electricity generating set in the zone.
3. The method as claimed in claim 2, wherein the peak shaving capacity cumulative contribution degree P is st The calculation formula of (2) is as follows:
P st ＝Σp st
in the formula, p st The accumulated contribution degree of the daily peak regulation capacity of the thermoelectric generator set in the zone is obtained.
4. The method as claimed in claim 2, wherein the peak shaving ability contribution degree P is set as the peak shaving ability tfl The calculation formula of (2) is as follows:
P tfl ＝Σp tfl
in the formula, p tfl The method can bring contribution to daily peak regulation capability of the thermoelectric generator in the zone.
5. The method as claimed in claim 2, wherein the contribution degree Δ P of the peak-load demand burst phase is equal to or less than the peak-load demand burst phase fd The calculation formula of (2) is as follows:
in the formula, N is the number of the thermoelectric generator sets in the plate area; delta p fdi And (4) the contribution degree of the annual peak regulation demand explosion stage of the ith thermal power generating unit.
6. The method as claimed in claim 1, wherein when the renewable energy consumption electric quantity is distributed proportionally, the renewable energy electric quantity Q consumed in the district year Renewable energy source i Comprises the following steps:
in the formula, N is the number of the fragment areas in the scheduling control area; e i Comprehensively evaluating indexes of the peak shaving contribution degree of the ith patch; q Renewable energy source The power is consumed for the renewable energy to be distributed.
7. A system for equalizing distribution of consumption electric quantity of renewable energy sources is characterized by comprising:
the evaluation index system establishing module is used for establishing a peak regulation contribution degree comprehensive evaluation index system according to the current strategy of each area in the dispatching control area;
and the consumable electric quantity distribution module is used for comprehensively evaluating an index system based on the established peak regulation contribution degree, measuring and calculating the peak regulation contribution degree of the thermoelectric generator set in each zone, and distributing the consumable electric quantity of the renewable energy sources in each zone in proportion.
8. The system according to claim 7, wherein the peak shaving contribution degree comprehensive evaluation index system includes peak shaving contribution income based on deep peak shaving, peak shaving contribution income based on peak shaving rate, and profit of thermal power generating unit reduced by less power generation for renewable energy consumption, and the calculation formula is as follows:
E＝P st +P tfl +△P fd
in the formula, E is a peak regulation contribution degree comprehensive evaluation index; p st Accumulating contribution degree for annual peak regulation capacity of the thermoelectric generator set in the zone; p is tfl The method contributes to the annual peak regulation capability of the thermoelectric generator in the zone; delta P fd The contribution degree of annual peak regulation demand outbreak stage of the thermoelectric generator set in the section.
9. A processing device comprising at least a processor and a memory, the memory having stored thereon a computer program, wherein the processor executes the computer program to implement the steps of the method for balanced distribution of consumption of renewable energy resources according to any one of claims 1 to 6.
10. A computer storage medium having computer readable instructions stored thereon, the computer readable instructions being executable by a processor to perform the steps of the method for equalized distribution of consumption of renewable energy according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210502858.2A CN114912790A (en) | 2022-05-10 | 2022-05-10 | Method, system, equipment and medium for balanced distribution of consumption electric quantity of renewable energy |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210502858.2A CN114912790A (en) | 2022-05-10 | 2022-05-10 | Method, system, equipment and medium for balanced distribution of consumption electric quantity of renewable energy |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114912790A true CN114912790A (en) | 2022-08-16 |
Family
ID=82766713
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210502858.2A Pending CN114912790A (en) | 2022-05-10 | 2022-05-10 | Method, system, equipment and medium for balanced distribution of consumption electric quantity of renewable energy |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114912790A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117829516A (en) * | 2024-01-02 | 2024-04-05 | 中国电力工程顾问集团有限公司 | Coal-fired power plant depth peak regulation evaluation method and device |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011048609A (en) * | 2009-08-27 | 2011-03-10 | Nippon Telegr & Teleph Corp <Ntt> | Method and system for content distribution partnership allocation, and program |
| AU2015101635A4 (en) * | 2015-11-08 | 2016-03-17 | Colin Laird Seeger | A method by which energy collected and/or converted technology Systems such as from so-called renewable energy sources including solar, wind or thermal, may be installed on common property in fractionally-owned properties and to distribute the products and the costs of that energy equitably including proportionally to their proprietorship. |
| KR20190112505A (en) * | 2018-03-26 | 2019-10-07 | 한국전자통신연구원 | Method and apparatuis of distrubuting transaction profit of renewable energy based on energy trading |
| CN111144624A (en) * | 2019-12-10 | 2020-05-12 | 昆明电力交易中心有限责任公司 | Optimization method for power quota allocation of renewable energy |
| CN112669052A (en) * | 2020-12-04 | 2021-04-16 | 国网辽宁省电力有限公司经济技术研究院 | Flexible income distribution method for park comprehensive energy system participating in peak shaving |
| CN112712204A (en) * | 2020-12-29 | 2021-04-27 | 华润电力技术研究院有限公司 | Optimal distribution method, device and equipment for electric heating load of thermal power enterprise and storage medium |
| CN113315171A (en) * | 2021-05-18 | 2021-08-27 | 南方电网能源发展研究院有限责任公司 | New energy consumption capacity evaluation method and device, computer equipment and storage medium |
-
2022
- 2022-05-10 CN CN202210502858.2A patent/CN114912790A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011048609A (en) * | 2009-08-27 | 2011-03-10 | Nippon Telegr & Teleph Corp <Ntt> | Method and system for content distribution partnership allocation, and program |
| AU2015101635A4 (en) * | 2015-11-08 | 2016-03-17 | Colin Laird Seeger | A method by which energy collected and/or converted technology Systems such as from so-called renewable energy sources including solar, wind or thermal, may be installed on common property in fractionally-owned properties and to distribute the products and the costs of that energy equitably including proportionally to their proprietorship. |
| KR20190112505A (en) * | 2018-03-26 | 2019-10-07 | 한국전자통신연구원 | Method and apparatuis of distrubuting transaction profit of renewable energy based on energy trading |
| CN111144624A (en) * | 2019-12-10 | 2020-05-12 | 昆明电力交易中心有限责任公司 | Optimization method for power quota allocation of renewable energy |
| CN112669052A (en) * | 2020-12-04 | 2021-04-16 | 国网辽宁省电力有限公司经济技术研究院 | Flexible income distribution method for park comprehensive energy system participating in peak shaving |
| CN112712204A (en) * | 2020-12-29 | 2021-04-27 | 华润电力技术研究院有限公司 | Optimal distribution method, device and equipment for electric heating load of thermal power enterprise and storage medium |
| CN113315171A (en) * | 2021-05-18 | 2021-08-27 | 南方电网能源发展研究院有限责任公司 | New energy consumption capacity evaluation method and device, computer equipment and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117829516A (en) * | 2024-01-02 | 2024-04-05 | 中国电力工程顾问集团有限公司 | Coal-fired power plant depth peak regulation evaluation method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Saleh et al. | Load aggregation from generation-follows-load to load-follows-generation: Residential loads | |
| Yuan et al. | Co-optimization scheme for distributed energy resource planning in community microgrids | |
| Wang et al. | A near-optimal model-based control algorithm for households equipped with residential photovoltaic power generation and energy storage systems | |
| CN106844916B (en) | Power generation and power utilization organization method and device based on peak regulation auxiliary service market | |
| CN108539731B (en) | Compensation and allocation calculation method for peak regulation auxiliary service cost | |
| Milano et al. | Optimal load management with inclusion of electric vehicles and distributed energy resources | |
| Lu et al. | Data center aggregators’ optimal bidding and benefit allocation strategy considering the spatiotemporal transfer characteristics | |
| Zhong et al. | Chance constrained scheduling and pricing for multi-service battery energy storage | |
| Faruhaan et al. | Energy storage sizing and enhanced dispatch strategy with temperature and safety considerations: a techno‐economic analysis | |
| Xu et al. | Optimal SVC placement for maximizing photovoltaic hosting capacity in distribution network | |
| CN114912790A (en) | Method, system, equipment and medium for balanced distribution of consumption electric quantity of renewable energy | |
| Sharma et al. | Improved energy management strategy for prosumer buildings with renewable energy sources and battery energy storage systems | |
| CN111967647A (en) | Cooperative game-based multi-subject investment proportion optimization method and system | |
| Zhou et al. | China’s renewable curtailment and coal assets risk map | |
| Tian et al. | Coordinated RES and ESS Planning Framework Considering Financial Incentives Within Centralized Electricity Market | |
| Li et al. | Real-time scheduling of time-shiftable loads in smart grid with dynamic pricing and photovoltaic power generation | |
| CN108418210A (en) | Improve the interruptible load Mechanism Design optimization method of wind electricity digestion capability | |
| CN117236978A (en) | Electric power market design method and system based on carbon emission right transaction | |
| CN111160767A (en) | Comprehensive energy service benefit evaluation method | |
| CN111859246B (en) | Energy resource clearing parameter optimization method and system based on renewable energy power consumption | |
| CN116432807A (en) | Comprehensive demand response system and method considering coupling effect and uncertainty | |
| CN112037082B (en) | Calculation method and system for interruptible load electricity price in power grid peak shaving | |
| Guoying et al. | Load aggregator bidding strategy in peak regulation market based on selective combination game | |
| Rodrigues et al. | Two-stage battery energy storage system sizing for distribution transformer overload management | |
| Graf et al. | Market performance assessment in locational markets with non-convexities |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |