CN113469430B - Multi-energy complementary capacity configuration method for comprehensive energy park - Google Patents
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Abstract
The invention provides a method for configuring the multi-energy complementary capacity of a comprehensive energy park, which comprises the following steps: establishing an output model of a distributed wind power, distributed photovoltaic, cold-heat-electricity triple supply system and electric heating and refrigerating equipment in comprehensive energy supply; analyzing typical energy consumption scenes and loads of the comprehensive energy utilization park, wherein the typical energy consumption scenes and loads comprise electric loads, heat loads and cold loads in a heating season, a cooling season and a transition season; and taking the lowest total running cost of the system as an optimization target, taking electric power balance constraint of a power supply system, natural gas cold-hot-motor group constraint, electricity purchasing power constraint, wind power photovoltaic output constraint, heat supply system output constraint, start-stop time constraint, conveying channel capacity constraint and standby capacity constraint as constraint conditions, establishing a comprehensive energy park multi-energy complementary capacity configuration optimization model, and solving the model by adopting a genetic algorithm. The invention can perform multi-energy complementary capacity configuration optimization on the comprehensive energy utilization park, realize integration of multiple energy sources and improve the economical efficiency and reliability of the park system.
Description
Technical Field
The invention relates to the technical field of power economy, in particular to a method for configuring a multifunctional complementary capacity of an integrated energy park.
Background
With the continuous increase of the development proportion of new energy, the basic characteristics of the traditional energy system are gradually changed, the limit of the original different energy systems is broken through by the comprehensive energy utilization park, and the integration of multiple types of energy is realized. The characteristics of randomness and indirection of resources such as wind, light, water, fire and the like, time-space complementation and the like bring challenges to the safe and stable operation of the power system, and the reasonable configuration of the capacity of each energy source is the key for ensuring the feasibility of the comprehensive energy utilization park, thereby being beneficial to improving the power supply reliability of the comprehensive energy source system. The reasonable distribution of the capacities of all power supplies in the multi-energy complementary power generation system is fully utilized, the advantages of all power supplies are brought into play, the consumption of clean energy can be increased, the total investment of the system is reduced, and the economic benefit is improved. At present, the capacity allocation of the domestic comprehensive energy utilization park is only reserved in the multi-energy complementary capacity allocation of primary energy sources such as wind, light, water, fire and the like, the multi-energy complementary capacity allocation of secondary energy sources such as cold, heat, electricity and the like is not considered, and the allocation of electric loads, heat loads, cold loads and the like at the user side in different seasons is not related.
Therefore, it is necessary to study a method for configuring the multi-energy complementary capacity of the comprehensive energy park, which can optimize the multi-energy complementary capacity configuration of the comprehensive energy park, integrate the multi-energy sources, and improve the economical efficiency and reliability of the system of the comprehensive energy park.
Disclosure of Invention
The invention aims to provide a multi-energy complementary capacity configuration method for a comprehensive energy utilization park, which is used for modeling the distributed wind power, distributed photovoltaic, cold-heat-electricity triple supply system and the output of electric heating and electric refrigerating equipment of the comprehensive energy system and analyzing the typical energy utilization scene and load of the comprehensive energy utilization park, so that the multi-energy complementary capacity configuration optimization is carried out on the comprehensive energy utilization park, the integration of multiple energy sources is realized, and the economical efficiency and the reliability of the comprehensive energy utilization park system are improved.
The invention provides a method for configuring the multi-energy complementary capacity of a comprehensive energy utilization park, which comprises the following steps:
s1, building an output model of a distributed wind power, distributed photovoltaic, cold-heat-electricity triple supply system and electric heating and refrigerating equipment in comprehensive energy supply;
s2, analyzing typical energy consumption scenes and loads of the comprehensive energy utilization park, wherein the typical energy consumption scenes and loads comprise electric loads, heat loads and cold loads in a heating season, a cooling season and a transition season;
s3, taking the lowest total running cost of the system as an optimization target, taking electric power balance constraint of a power supply system, natural gas cold-hot-motor set constraint, electricity purchasing power constraint, wind power photovoltaic output constraint, heating system output constraint, start-stop time constraint, conveying channel capacity constraint and standby capacity constraint as constraint conditions, establishing a comprehensive energy park multi-energy complementary capacity configuration optimization model, and solving the model by adopting a genetic algorithm.
Further, the step S1 includes the following steps:
(1) the fan output is related to wind speed, cut-in wind speed, rated wind speed and cut-out wind speed, and the output model is as follows:
wherein,maximum output electric power of the wind turbine generator set in period t, v t Is the wind speed of period t, v in Is cut-in wind speed v rated Is rated wind speed v out Is the cut-out wind speed, P S WT The rated output electric power of the wind turbine generator is used;
(2) the principle of photovoltaic power generation is to convert solar energy into electric energy by using a photovoltaic module according to the photovoltaic effect. The output force of the photovoltaic unit is related to the intensity and the temperature of solar radiation, and the output force model is as follows:
wherein,maximum output electric power of the photovoltaic unit in time period t, < >>Is the output electric power of the photovoltaic unit under the standard condition, I stc Is standard condition solar radiation intensity, generally 1000W/m 2 ，T stc Is at standard temperature, typically 25 ℃, I t Is the solar radiation intensity of period T, T t Is the temperature of period t, alpha is the power temperature coefficient of the photovoltaic cell, and is typically 0.0039 DEG C -1 ；
(3) The natural gas cooling-heating-electricity triple supply system generally comprises a gas turbine, an absorption refrigerator, a waste heat boiler and other equipment, and can simultaneously supply three energy sources of cooling, heating and electricity, wherein the output model is as follows:
wherein,is the residual heat power of the natural gas cold-heat-electricity triple supply system in the period t, +.>Is the output electric power of the natural gas cold-heat-electricity triple supply system in the period t, eta MT,e Is the power generation efficiency eta HL Is the heat dissipation loss coefficient, generally 0.03,is the output heat power, eta of the natural gas cold-heat-electricity triple supply system in the period t WHR Is waste heat recovery efficiency, O H Heating coefficient is 1.20 # -, generally>Is the output cold power of the natural gas cold-heat-electricity triple supply system in the period t, O C Is a refrigeration coefficient, generally 0.95, V NG Is the consumption of natural gas, q NG Is the low heating value of natural gas;
(4) the electric energy belongs to high-quality energy, the heat energy can be produced by electric heating equipment such as a heat pump, and the cold energy can be produced by electric refrigerating equipment, and the output model is as follows:
wherein,is the output thermal power of the time period t electric heating equipment, eta EH Is the electric heat conversion efficiency->Is the input power rate of the time period t electric heating equipment; />Is the output cold power of the time period t electric refrigerating equipment, eta EC Is the conversion efficiency of electric cooling,is the input power rate of the time period t-electric refrigeration equipment.
Further, the step S2 includes:
(1) the electric load, the heat load and the cold load in the heating season are calculated according to the following calculation formula:
wherein,is the electrical load for heating Ji Shiduan t, +.>Is the heat load of the heat supply Ji Shiduan t, +.>Is the cold load of the heat supply Ji Shiduan t;
(2) the electrical, thermal and cold loads for the cold season were calculated as follows:
wherein,is the electrical load for the cold season period t, < ->Is the heat load for the cold season period t, < ->Is the cold load for the cold supply season period t;
(3) the electrical, thermal and cold loads in transition season were calculated as follows:
wherein,is the electrical load of the transition season period t, +.>Is the thermal load of the transition season t, +.>Is the cold load of the transition season period t.
Further, the comprehensive energy park multi-energy complementary capacity configuration optimization model in the step S3 is as follows:
taking the minimum total running cost of the system as an optimization target, and establishing an objective function:
wherein F is the total cost of system operation, including the power generation cost of the natural gas cold-hot-motor group and the deviation planned output penalty cost, the electricity purchase cost and the deviation planned electricity purchase penalty cost and the waste wind and waste light cost, NrMT is the number of r-zone natural gas cold-hot-motor units,is the electric force of the i-th natural gas cold-hot-motor group in the r region t moment under the scene s,/->For the planned power output of the ith natural gas cooling-heating-motor unit in the r region t time,/>Is the heat output of the ith natural gas cold-heat-motor unit in the r region t moment under the scene s,/->Is the electricity purchasing power of the ith natural gas cold-hot-motor unit in the r region t moment under the scene s, < +.>For the planned power supply of the ith natural gas cooling-heating-motor unit in the r region t time,/>Is a cost function of a natural gas cold-hot-motor unit, alpha 0,r,i Initial investment cost for natural gas cooling-heating-motor set, alpha 1,r,i 、α 3,r,i The primary term coefficient and the secondary term coefficient of the electric output in the function of the natural gas cold-hot-motor composition are respectively alpha 2,r,i 、α 4,r,i The primary term coefficient and the secondary term coefficient of the thermal output of the natural gas cold-hot-motor composition function are respectively alpha 5,r,i For the cross term coefficient, alpha is calculated from historical data and experience, and +>Is the wind-abandoning and light-abandoning power, < >>Is the power of wind power, which is->Is the power of the photovoltaic, in +.>Is the Internet power of wind power, < >>Is the internet power of the photovoltaic, +.>Is the heat supply power of wind power, < >>Is the heating power of the photovoltaic, +.>Is the purchase price of electricity, ρ 1 Is punishment price of the natural gas cold-hot-motor set deviating from planned output, ρ 2 Is punishment price of electricity purchasing power deviating from planned electricity purchasing power, ρ 3 Is the punishment price of wind and light abandoning.
Further, the constraint conditions in the step S3 are:
power supply system electric power balance constraint:
wherein L is r Is the set of links of the r region with other regions,is the transmission power of the link l, +.>Indicating at time t that tie l inputs power into the area,/>Indicating that at time t the tie line l is delivering power outside the area,/>Is the electrical load power, ">Is the power of the electric refrigerator;
thermoelectric ratio constraint, upper and lower output limit constraint and climbing constraint of a natural gas cold-hot-motor unit:
wherein K is hp,r,t Is the thermoelectric ratio of the ith natural gas cold-hot-motor unit in the r region,is the lower limit of the electric output of the ith natural gas cold-hot-motor unit in the r area,/->Is the electricity of the ith natural gas cold-hot-motor group in the r areaThe upper limit of the output force is set,the power is maximally adjusted upwards in unit time of the ith natural gas cooling-heating-motor unit in the r area;
and (3) the power purchasing constraint, wherein each functional area only allows power purchasing and gas purchasing, and does not allow power selling and gas selling:
wherein,is the capacity of a grid-connected point transformer substation, which is%>Is the outsourcing gas power, < >>Is the upper limit of the conveying capacity of the natural gas pipeline;
wind-powered photovoltaic force constraint:
and the constraint of a heating system is that an electric boiler in an r area only consumes wind power and photovoltaic power in the r area, so that the constraint of an electric-heating conversion relation of the electric boiler and the constraint of the output of the electric boiler are met:
wherein,is the thermal output, eta of the electric boiler at the moment t in the r region under the scene s EB,r Is the electrical conversion efficiency of the r-zone electric boiler, < >>Is the upper limit of the output of the electric boiler in the r area;
equipment start-up time constraint:
wherein,is the duration of the natural gas cold-hot-electric machine group,/->Is the continuous down time of the natural gas cold-hot-electric motor group, < >>Is the duration of the electric boiler plant, +.>Is the continuous down time of the electric boiler plant,
is the minimum start-up time of the natural gas cold-hot-electricity, +.>Is the minimum down time of natural gas cold-hot-electricity, +.>Respectively the minimum start-up time of the electric boiler plant,/->Minimum downtime of electric boiler plants, u MT,r,t-1 Is a natural gas cold-hot-motor group at t-1The operating state of the scale is 0-1 variable, u EB,r,t-1 The operation state of the electric boiler equipment at the time t-1 is a variable of 0-1;
the delivery channel capacity satisfies the constraint:
wherein,is the line capacity between nodes i and j at the initial moment, is +.>Is the newly added line capacity between nodes i and j at time t,/>Is the maximum capacity of the line allowed to be erected by the transmission channel between the nodes i and j, M is the penalty coefficient, so thatWhen (I)>0, when->When large enough to have enough room to select a new line, +>Is a boolean variable, a continuously constrained "switch," producing greater than or equal to the maximum capacity allowed by the line upgrade.
Spare capacity constraint:
wherein r is 1 Is the upper standby coefficient of the load, r 2 Is the upper standby coefficient of wind power, r 3 Is the upper standby coefficient of the photovoltaic, r 4 Is the lower standby coefficient of wind power, r 5 Is the lower standby coefficient of the photovoltaic.
The invention has the advantages and positive effects that:
compared with the prior art, the invention fully considers the multi-energy complementary capacity configuration of secondary energy sources such as cold, heat, electricity and the like, also relates to the configuration of electric load, heat load, cold load and the like at the user side in different seasons, fully utilizes the reasonable distribution of the capacities of all power sources in the multi-energy complementary power generation system, exerts the advantages of all power sources, realizes the integration of multiple energy sources, can increase the consumption of clean energy sources, reduces the total investment of the system, and improves the economy and the reliability of the system in the comprehensive energy park.
Drawings
FIG. 1 is a flow chart of a method for configuring multiple complementary capacities of an integrated energy park provided in an embodiment of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention become more apparent, the technical solutions in the embodiments of the present invention will be described in more detail below with reference to the accompanying drawings in the embodiments of the present invention. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all, embodiments of the invention. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the method for configuring the multi-energy complementary capacity of the integrated energy park according to the embodiment includes the following steps:
s1, building an output model of a distributed wind power, distributed photovoltaic, cold-heat-electricity triple supply system and electric heating and refrigerating equipment in comprehensive energy supply;
s2, analyzing typical energy consumption scenes and loads of the comprehensive energy utilization park, wherein the typical energy consumption scenes and loads comprise electric loads, heat loads and cold loads in a heating season, a cooling season and a transition season;
s3, taking the lowest total running cost of the system as an optimization target, taking electric power balance constraint of a power supply system, natural gas cold-hot-motor set constraint, electricity purchasing power constraint, wind power photovoltaic output constraint, heating system output constraint, start-stop time constraint, conveying channel capacity constraint and standby capacity constraint as constraint conditions, establishing a comprehensive energy park multi-energy complementary capacity configuration optimization model, and solving the model by adopting a genetic algorithm.
Further, the step S1 includes the following steps:
(1) the fan output is related to wind speed, cut-in wind speed, rated wind speed and cut-out wind speed, and the output model is as follows:
wherein,maximum output electric power of the wind turbine generator set in period t, v t Is the wind speed of period t, v in Is cut-in wind speed v rated Is rated wind speed v out Is the cut-out wind speed, P S WT The rated output electric power of the wind turbine generator is used;
(2) the principle of photovoltaic power generation is to convert solar energy into electric energy by using a photovoltaic module according to the photovoltaic effect. The output force of the photovoltaic unit is related to the intensity and the temperature of solar radiation, and the output force model is as follows:
wherein,maximum output electric power of the photovoltaic unit in time period t, < >>Is the output electric power of the photovoltaic unit under the standard condition, I stc Is standard condition solar radiation intensity, generally 1000W/m 2 ，T stc Is at standard temperature, typically 25 ℃, I t Is the solar radiation intensity of period T, T t Is the temperature of period t, alpha is the power temperature coefficient of the photovoltaic cell, and is typically 0.0039 DEG C -1 ；
(3) The natural gas cooling-heating-electricity triple supply system generally comprises a gas turbine, an absorption refrigerator, a waste heat boiler and other equipment, and can simultaneously supply three energy sources of cooling, heating and electricity, wherein the output model is as follows:
wherein,is the residual heat power of the natural gas cold-heat-electricity triple supply system in the period t, +.>Is the output electric power of the natural gas cold-heat-electricity triple supply system in the period t, eta MT,e Is the power generation efficiency eta HL Is the heat dissipation loss coefficient, generally 0.03,is the output heat power, eta of the natural gas cold-heat-electricity triple supply system in the period t WHR Is waste heat recovery efficiency, O H Heating coefficient is 1.20 # -, generally>Is the output cold power of the natural gas cold-heat-electricity triple supply system in the period t, O C Is a refrigeration coefficient, generally 0.95, V NG Is the consumption of natural gas, q NG Is the low heating value of natural gas;
(4) the electric energy belongs to high-quality energy, the heat energy can be produced by electric heating equipment such as a heat pump, and the cold energy can be produced by electric refrigerating equipment, and the output model is as follows:
wherein,is the output thermal power of the time period t electric heating equipment, eta EH Is the electric heat conversion efficiency->Is the input power rate of the time period t electric heating equipment; />Is the output cold power of the time period t electric refrigerating equipment, eta EC Is the conversion efficiency of electric cooling,is the input power rate of the time period t-electric refrigeration equipment.
Further, the step S2 includes:
(1) the electric load, the heat load and the cold load in the heating season are calculated according to the following calculation formula:
wherein,is the electrical load for heating Ji Shiduan t, +.>Is the heat load of the heat supply Ji Shiduan t, +.>Is the cold load of the heat supply Ji Shiduan t;
(2) the electrical, thermal and cold loads for the cold season were calculated as follows:
wherein,is the electrical load for the cold season period t, < ->Is cold Ji Shiduant heat load, < >>Is the cold load for the cold supply season period t;
(3) the electrical, thermal and cold loads in transition season were calculated as follows:
wherein,is the electrical load of the transition season period t, +.>Is the thermal load of the transition season t, +.>Is the cold load of the transition season period t.
Further, the comprehensive energy park multi-energy complementary capacity configuration optimization model in the step S3 is as follows:
taking the minimum total running cost of the system as an optimization target, and establishing an objective function:
wherein F is the total cost of system operation, including the natural gas cold-hot-electric machine group power generation cost and the deviation plan output punishment cost, the electricity purchase cost and the deviation plan electricity purchase punishmentThe cost and the wind and light discarding cost are calculated, NrMT is the number of r-zone natural gas cold-hot-motor units,is the electric force of the i-th natural gas cold-hot-motor group in the r region t moment under the scene s,/->For the planned power output of the ith natural gas cooling-heating-motor unit in the r region t time,/>Is the heat output of the ith natural gas cold-heat-motor unit in the r region t moment under the scene s,/->Is the electricity purchasing power of the ith natural gas cold-hot-motor unit in the r region t moment under the scene s, < +.>For the planned power supply of the ith natural gas cooling-heating-motor unit in the r region t time,/>Is a cost function of a natural gas cold-hot-motor unit, alpha 0,r,i Initial investment cost for natural gas cooling-heating-motor set, alpha 1,r,i 、α 3,r,i The primary term coefficient and the secondary term coefficient of the electric output in the function of the natural gas cold-hot-motor composition are respectively alpha 2,r,i 、α 4,r,i The primary term coefficient and the secondary term coefficient of the thermal output of the natural gas cold-hot-motor composition function are respectively alpha 5,r,i For the cross term coefficient, alpha is calculated from historical data and experience, and +>Is the wind-abandoning and light-abandoning power, < >>Is the power of wind power, which is->Is the power of the photovoltaic, in +.>Is the Internet power of wind power, < >>Is the internet power of the photovoltaic, +.>Is the heat supply power of wind power, < >>Is the heating power of the photovoltaic, +.>Is the purchase price of electricity, ρ 1 Is punishment price of the natural gas cold-hot-motor set deviating from planned output, ρ 2 Is punishment price of electricity purchasing power deviating from planned electricity purchasing power, ρ 3 Is the punishment price of wind and light abandoning.
Further, the constraint conditions in the step S3 are:
power supply system electric power balance constraint:
wherein L is r Is the set of links of the r region with other regions,is the transmission power of the link l, +.>Indicating at time t that tie l inputs power into the area,/>Indicating that at time t the tie line l is delivering power outside the area,/>Is the electrical load power, ">Is the power of the electric refrigerator;
thermoelectric ratio constraint, upper and lower output limit constraint and climbing constraint of a natural gas cold-hot-motor unit:
wherein K is hp,r,t Is the thermoelectric ratio of the ith natural gas cold-hot-motor unit in the r region,is the lower limit of the electric output of the ith natural gas cold-hot-motor unit in the r area,/->Is the upper limit of the electric output of the ith natural gas cold-hot-motor group in the r region,the power is maximally adjusted upwards in unit time of the ith natural gas cooling-heating-motor unit in the r area;
and (3) the power purchasing constraint, wherein each functional area only allows power purchasing and gas purchasing, and does not allow power selling and gas selling:
wherein,is the capacity of a grid-connected point transformer substation, which is%>Is the outsourcing gas power, < >>Is the upper limit of the conveying capacity of the natural gas pipeline; wind-powered photovoltaic force constraint:
and the constraint of a heating system is that an electric boiler in an r area only consumes wind power and photovoltaic power in the r area, so that the constraint of an electric-heating conversion relation of the electric boiler and the constraint of the output of the electric boiler are met:
wherein,is the thermal output, eta of the electric boiler at the moment t in the r region under the scene s EB,r Is the electrical conversion efficiency of the r-zone electric boiler, < >>Is the upper limit of the output of the electric boiler in the r area;
equipment start-up time constraint:
wherein,is the duration of the natural gas cold-hot-electric machine group,/->Is the continuous down time of the natural gas cold-hot-electric motor group, < >>Is the duration of the electric boiler plant, +.>Is the continuous down time of the electric boiler plant,
is the minimum start-up time of the natural gas cold-hot-electricity, +.>Is the minimum down time of natural gas cold-hot-electricity, +.>Respectively the minimum start-up time of the electric boiler plant,/->Minimum downtime of electric boiler plants, u MT,r,t-1 Is the operation state of the natural gas cold-hot-motor group at the time t-1, is 0-1 variable, u EB,r,t-1 The operation state of the electric boiler equipment at the time t-1 is a variable of 0-1;
the delivery channel capacity satisfies the constraint:
wherein,is the line capacity between nodes i and j at the initial moment, is +.>Is the newly added line capacity between nodes i and j at time t,/>Is the maximum capacity of the line allowed to be erected by the transmission channel between the nodes i and j, M is the penalty coefficient, so thatWhen (I)>0, when->When large enough to have enough room to select a new line, +>Is a boolean variable, a continuously constrained "switch," producing greater than or equal to the maximum capacity allowed by the line upgrade.
Spare capacity constraint:
wherein r is 1 Is the upper standby coefficient of the load, r 2 Is the upper standby coefficient of wind power, r 3 Is the upper standby coefficient of the photovoltaic, r 4 Is the lower standby coefficient of wind power, r 5 Is the lower standby coefficient of the photovoltaic.
The invention is further described in connection with specific embodiments below:
an industrial park power supply system in a certain area is taken as a simulation example. The park comprises photovoltaic, wind power and natural gas, and the annual average radiation intensity of the park is 1200W/m 2 Average wind speed 4.7m/s, park area about 64000m 2 Annual electricity consumption is approximately 2120MWh.
The price of electricity purchased from the park to the power grid adopts time-sharing electricity price, the price of natural gas purchased from the park to the natural gas grid also adopts time-sharing price, and the heat value of the natural gas is 9.7kWh/m 3 And performing power conversion. The upper limit of the outsourcing electricity is 50MW and the upper limit of the outsourcing gas is 80m 3 . The specific prices are shown in Table 1.
TABLE 1 energy trading prices for parks
The solution algorithm proposed in this embodiment is adopted to obtain the optimal configuration result shown in table 2:
table 2 park device configuration results
| Apparatus and method for controlling the operation of a device | Configuration capacity/kW | Apparatus and method for controlling the operation of a device | Configuration capacity/kW |
| Photovoltaic deviceGenerating set | 2160 | Waste heat boiler | 1566 |
| Wind generating set | 1830 | Gas boiler | 1409 |
| Gas turbine | 13062 | Electric refrigerator | 701 |
| Absorption refrigerator | 2000 | Electric heating machine | 179 |
The maximum electrical load on typical days in the cold season is 2095kW, the cold load is 4413kW, the heat load is 716kW, and the system efficiency and economic index under the typical days in the cold season are solved and analyzed:
TABLE 3 energy interaction costs for the campus
| Cost of energy interaction | energy/kWh | Cost/element |
| Purchase electricity | 14017.6 | 8273.1 |
| Purchasing gas | 71175.9 | 22013.2 |
| System operation | / | 30302.3 |
As can be seen from table 3, the main cost of the system is on purchasing natural gas with the system fully absorbing renewable energy. Table 4 shows the energy, efficiency and required operating costs of each plant on a typical day.
TABLE 4 Garden plant operation costs
| Apparatus and method for controlling the operation of a device | energy/kWh | Efficiency of | Running cost |
| Photovoltaic generator set | 3610.6 | 7.5％ | 38.96 |
| Wind generating set | 6215.32 | 14.6％ | 385.52 |
| Gas turbine | 213520.8 | 68.0％ | 1259.81 |
| Absorption refrigerator | 31902.1 | 66.5％ | 41.5 |
| Waste heat boiler | 9360.23 | 55.9％ | 280.1 |
| Gas boiler | 2125.5 | 12.1％ | 91.4 |
| Electric refrigerator | 5105.3 | 33.3％ | 23.7 |
| Electric heating machine | 345.1 | 8.0％ | 12.8 |
The efficiency in table 4 shows the ratio of the energy of the plant to the energy of the plant operating at maximum power throughout the day, and it can be seen that the operating efficiency of the new energy unit is lower, and the efficiency of the gas turbine and the refrigeration plant is higher in the cooling season, corresponding to the large cooling load demand in the cooling season. Table 5 is a park energy cost savings.
Table 5 park energy cost savings
| Pre-optimization/meta-optimization | Optimized post/meta | Cost savings/metaments |
| 123191.4 | 116598.5 | 6592.9(5.4％) |
Therefore, the energy consumption cost can be reduced by the multi-energy complementary capacity optimization configuration, additional economic benefits are obtained, and the energy consumption cost is saved by 5.4% after the optimization configuration.
Finally, it should be pointed out that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting. Although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (4)
1. The method for configuring the multi-energy complementary capacity of the comprehensive energy park is characterized by comprising the following steps of:
s1, building an output model of a distributed wind power, distributed photovoltaic, cold-heat-electricity triple supply system and electric heating and refrigerating equipment in comprehensive energy supply;
s2, analyzing typical energy consumption scenes and loads of the comprehensive energy utilization park, wherein the typical energy consumption scenes and loads comprise electric loads, heat loads and cold loads in a heating season, a cooling season and a transition season;
s3, taking the lowest total running cost of the system as an optimization target, taking electric power balance constraint of a power supply system, natural gas cold-hot-motor set constraint, electricity purchasing power constraint, wind power photovoltaic output constraint, heating system output constraint, start-stop time constraint, conveying channel capacity constraint and standby capacity constraint as constraint conditions, establishing a comprehensive energy park multi-energy complementary capacity configuration optimization model, and solving the model by adopting a genetic algorithm;
the comprehensive energy park multi-energy complementary capacity configuration optimization model in the step S3 is as follows:
taking the minimum total running cost of the system as an optimization target, and establishing an objective function:
wherein F is the total cost of system operation, including the power generation cost of the natural gas cold-hot-motor group and the deviation planned output penalty cost, the electricity purchase cost and the deviation planned electricity purchase penalty cost and the waste wind and waste light cost, NrMT is the number of r-zone natural gas cold-hot-motor units,is the ith natural station in r region t moment under scene sElectric force of air-cooled-heated-motor group, < >>For the planned power output of the ith natural gas cooling-heating-motor unit in the r region t time,/>Is the heat output of the ith natural gas cold-heat-motor unit in the r region t moment under the scene s,/->Is the electricity purchasing power of the ith natural gas cold-hot-motor unit in the r region t moment under the scene s,for the planned power supply of the ith natural gas cooling-heating-motor unit in the r region t time,/>Is a cost function of a natural gas cold-hot-motor unit, alpha 0,r,i Initial investment cost for natural gas cooling-heating-motor set, alpha 1,r,i 、α 3,r,i The primary term coefficient and the secondary term coefficient of the electric output in the function of the natural gas cold-hot-motor composition are respectively alpha 2,r,i 、α 4,r,i The primary term coefficient and the secondary term coefficient of the thermal output of the natural gas cold-hot-motor composition function are respectively alpha 5,r,i For cross term coefficients, ++>Is the wind-abandoning and light-abandoning power, < >>Is the power of wind power, which is->Is the power of the photovoltaic, in +.>Is the Internet power of wind power, < >>Is the internet power of the photovoltaic, +.>Is the heat supply power of wind power, < >>Is the heating power of the photovoltaic, +.>Is the purchase price of electricity, ρ 1 Is punishment price of the natural gas cold-hot-motor set deviating from planned output, ρ 2 Is punishment price of electricity purchasing power deviating from planned electricity purchasing power, ρ 3 Is the punishment price of wind and light abandoning.
2. The method for configuring a multi-energy complementary capacity of a comprehensive energy park according to claim 1, wherein the step S1 includes the steps of:
(1) the fan output is related to wind speed, cut-in wind speed, rated wind speed and cut-out wind speed, and the output model is as follows:
wherein,maximum output electric power of the wind turbine generator set in period t, v t Is the wind speed of period t, v in Is cut-in wind speed v rated Is rated wind speed v out Is the cut-out wind speed, P S WT Rated output power of wind turbine generator systemA power;
(2) the principle of photovoltaic power generation is that according to the photovoltaic effect, solar energy is converted into electric energy by utilizing a photovoltaic module, the output force of a photovoltaic unit is related to the intensity and the temperature of solar radiation, and the output force model is as follows:
wherein,maximum output electric power of the photovoltaic unit in time period t, < >>Is the output electric power of the photovoltaic unit under the standard condition, I stc Is the standard condition of solar radiation intensity, T stc Is the standard condition temperature, I t Is the solar radiation intensity of period T, T t Is the temperature of period t, α is the power temperature coefficient of the photovoltaic cell;
(3) the natural gas cooling-heating-electricity triple supply system generally comprises a gas turbine, an absorption refrigerator, a waste heat boiler and other equipment, and can simultaneously supply three energy sources of cooling, heating and electricity, wherein the output model is as follows:
wherein,is the residual heat power of the natural gas cold-heat-electricity triple supply system in the period t, +.>Is the output electric power of the natural gas cold-heat-electricity triple supply system in the period t, eta MT,e Is the power generation efficiency eta HL Is the heat dissipation loss coefficient->Is the output heat power, eta of the natural gas cold-heat-electricity triple supply system in the period t WHR Is waste heat recovery efficiency, O H Is the heating coefficient>Is the output cold power of the natural gas cold-heat-electricity triple supply system in the period t, O C Is the refrigeration coefficient, V NG Is the consumption of natural gas, q NG Is the low heating value of natural gas;
(4) the electric energy belongs to high-quality energy, the heat energy can be produced by electric heating equipment such as a heat pump, and the cold energy can be produced by electric refrigerating equipment, and the output model is as follows:
wherein,is time period t electric heatingOutput thermal power, eta of the device EH Is the electric heat conversion efficiency->Is the input power rate of the time period t electric heating equipment; />Is the output cold power of the time period t electric refrigerating equipment, eta EC Is the conversion efficiency of electric cooling,is the input power rate of the time period t-electric refrigeration equipment.
3. The method for configuring a multi-energy complementary capacity of a comprehensive energy park according to claim 1, wherein the step S2 includes:
(1) the electric load, the heat load and the cold load in the heating season are calculated according to the following calculation formula:
wherein,is the electrical load for heating Ji Shiduan t, +.>Is the heat load of the heat supply Ji Shiduan t, +.>Is the cold load of the heat supply Ji Shiduan t;
(2) the electrical, thermal and cold loads for the cold season were calculated as follows:
wherein,is the electrical load for the cold season period t, < ->Is the heat load for the cold season period t, < ->Is the cold load for the cold supply season period t;
(3) the electrical, thermal and cold loads in transition season were calculated as follows:
wherein,is the electrical load of the transition season period t, +.>Is the thermal load of the transition season t, +.>Is the cold load of the transition season period t.
4. The method for configuring a multi-energy complementary capacity of a comprehensive energy park according to claim 1, wherein the constraint condition in the step S3 is:
power supply system electric power balance constraint:
where Lr is the set of tie lines of the r region with other regions,is the transmission power of the link l, +.>Indicating at time t that tie l inputs power into the area,/>Indicating that at time t the tie line l is delivering power outside the area,/>Is the electrical load power, ">Is the power of the electric refrigerator;
thermoelectric ratio constraint, upper and lower output limit constraint and climbing constraint of a natural gas cold-hot-motor unit:
wherein K is hp,r,t Is the thermoelectric ratio of the ith natural gas cold-hot-motor unit in the r region,is the lower limit of the electric output of the ith natural gas cold-hot-motor unit in the r area,/->Is the upper limit of the electric output of the ith natural gas cold-hot-motor group in the r area,/->The power is maximally adjusted upwards in unit time of the ith natural gas cooling-heating-motor unit in the r area;
and (3) the power purchasing constraint, wherein each functional area only allows power purchasing and gas purchasing, and does not allow power selling and gas selling:
wherein,is the capacity of a grid-connected point transformer substation, which is%>Is the outsourcing gas power, < >>Is the upper limit of the conveying capacity of the natural gas pipeline;
wind-powered photovoltaic force constraint:
and the constraint of a heating system is that an electric boiler in an r area only consumes wind power and photovoltaic power in the r area, so that the constraint of an electric-heating conversion relation of the electric boiler and the constraint of the output of the electric boiler are met:
wherein,is the thermal output, eta of the electric boiler at the moment t in the r region under the scene s EB,r Is the electrical conversion efficiency of the r-zone electric boiler,is the upper limit of the output of the electric boiler in the r area;
equipment start-up time constraint:
wherein,is the duration of the natural gas cold-hot-electric machine group,/->Is the continuous down time of the natural gas cold-hot-electric motor group, < >>Is the duration of the electric boiler plant, +.>Is the continuous down time of the electric boiler plant,is natural gas cold-hot-minimum start-up time of electricity, +.>Is the minimum down time of natural gas cold-hot-electricity, +.>Respectively the minimum start-up time of the electric boiler plant,/->Minimum downtime of electric boiler plants, u MT,r,t-1 Is the operation state of the natural gas cold-hot-motor group at the time t-1, u EB,r,t-1 The operation state of the electric boiler equipment at the time t-1;
the delivery channel capacity satisfies the constraint:
wherein,is the line capacity between nodes i and j at the initial moment, is +.>Is the newly added line capacity between nodes i and j at time t,/>Is the maximum capacity of the line allowed to be erected by the transmission channel between the nodes i and j, M is the penalty coefficient, so thatWhen (I)>0, when->When large enough to have enough room to select a new line, +>Is a boolean variable, continuously constrained "switch" producing greater than or equal to the maximum capacity allowed by the line upgrade;
spare capacity constraint:
wherein r is 1 Is the upper standby coefficient of the load, r 2 Is the upper standby coefficient of wind power, r 3 Is the upper standby coefficient of the photovoltaic, r 4 Is the lower standby coefficient of wind power, r 5 Is the lower standby coefficient of the photovoltaic.
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