CN112926187A - Method for analyzing and optimizing economic operation of power distribution network - Google Patents
Method for analyzing and optimizing economic operation of power distribution network Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
A method for analyzing and optimizing economic operation of a power distribution network comprises the following specific steps: step one, establishing a standard power distribution network equipment model; secondly, data carding, namely establishing a unified data model and a standard database; thirdly, constructing an economic operation algorithm model based on heuristic network reconstruction; calculating parameter checking analysis and correction to obtain a final economic operation algorithm model; and fifthly, verifying and analyzing the final economic operation algorithm model.
Description
Technical Field
The invention belongs to the technical field of power distribution networks, and particularly relates to a method for analyzing and optimizing economic operation of a power distribution network.
Background
With the rapid development of society, the safe, stable and reliable operation of a power system is related to the daily life of each person, and the power distribution network loss is a comprehensive technical and economic index representing the economic benefit and technical management level of power supply and utilization enterprises and is also an important index for the state to carry out energy-saving policy and assess power supply and utilization departments. Under the background of construction of a multi-element fusion high-elasticity power grid by provincial companies, on the basis of fully demonstrating basic data and technical levels of the existing power distribution network, power distribution network loss calculation and analysis are performed for improving the economical efficiency of power distribution network operation and improving the power distribution network scheduling decision level, and powerful guarantee can be provided for the economical operation of the power distribution network. On the basis of the existing distribution network, the operation of a distribution network line is simulated through a distribution network economic operation benefit optimization simulation model, the operation loss of the distribution network is reduced by optimizing a system power supply, the line operation and the load, and the enterprise revenue and investment benefits are further improved. Meanwhile, the original manual estimation mode is changed into the system rapid intelligent generation mode to make a scheduling operation mode decision, so that the digitization and the intellectualization of the operation of the power distribution network are realized, the potential of the power grid is released, and the safety level and the operation efficiency of the power grid are greatly improved.
The existing economic operation analysis of the power distribution network has the following defects: firstly, the operation plan of the power distribution network under the conditions of power failure arrangement, accident plan and the like is formulated in a mode of data searching and manual calculation in an SCADA system. For a complicated power distribution network, the scheme is difficult to formulate manually, scientific and accurate operation mode strategies are difficult to guarantee, and the power failure range or potential safety hazards can be expanded; secondly, most of the current power distribution network line scheduling operation mode decisions are manually estimated; thirdly, the power distribution network equipment is large in scale, and the time complexity and the space complexity of the traditional network reconstruction algorithm cannot be realized in a computer.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides the method for analyzing and optimizing the economic operation of the power distribution network, which not only reduces the workload of dispatching personnel, improves the working efficiency, reduces the operation loss, power and electric energy loss of the power distribution network, reduces the operation cost of enterprises and realizes the improvement of the benefit revenue of the enterprises.
The technical scheme adopted by the invention is as follows:
a method for analyzing and optimizing economic operation of a power distribution network comprises the following specific steps:
step one, establishing a standard power distribution network equipment model;
secondly, data carding, namely establishing a unified data model and a standard database;
thirdly, constructing an economic operation algorithm model based on heuristic network reconstruction;
calculating parameter checking analysis and correction to obtain a final economic operation algorithm model;
and fifthly, verifying and analyzing the final economic operation algorithm model.
Further, the specific steps of establishing a standard power distribution network equipment model in the step one are as follows:
s1.1, collecting graph-model data of distribution line equipment, wherein the graph-model data comprises a model, a topology and a standing book of primary equipment of a power distribution network;
and S1.2, carrying out data analysis on the acquired distribution line equipment graph model data, and converting and establishing a power distribution network equipment model with a topological structure.
Further, the data combing in the step two and the specific steps of establishing the unified data model and the standard database are as follows:
s2.1, combing the information of the sample primary equipment model, the topology and the machine account;
s2.2, combing the relation between the sample house number and the metering point code and the relation between the user house number and the distribution transformer;
s2.3, combing the line measurement information of the sample, the user load measurement information and the hanging relation, and fusing a primary static equipment model and a secondary dynamic measurement data model of the distribution network;
and S2.4, carrying out induction and integration on the multidimensional information data in the steps S2.1-S2.2, and establishing a unified data model and a standard database to form a database with a full model of the power distribution network.
Further, in the third step, based on heuristic network reconstruction, the specific steps of constructing the economic operation algorithm model are as follows:
s3.1, obtaining a sample feeder group ring, and calculating the current network loss;
s3.2, obtaining a sample initial value, namely a connection switch of the first ring;
s3.3, judging the voltage U at two ends of the interconnection switch for the interconnection switch obtained from the group of looped network feeder data0Whether greater than U1If voltage U is present0Greater than U1Closing the communication switch; otherwise, the group of loop circuits is not switched in a switch combination way and is simultaneously switched to U1By tracing a section switch in the direction until the tie switch voltage U0Greater than U1Closing the interconnection switch state, disconnecting the subsection, performing new network loss calculation NewNetLoss on the data meeting the conditions, if the CurNetLoss is more than or equal to the NewNetLoss, backtracking the next subsection switch to calculate to obtain a better solution, otherwise, calculating the benefit value PLn of the group of rings;
and S3.4, judging whether all the fitting calculation of the group of ring data is finished by iterative calculation, if so, outputting all the adjusted scheme data, and stopping the iteration.
Further, the calculation parameter verification analysis and correction in the fourth step comprises the following steps:
s4.1, reversely calculating and verifying the electric quantity information data of the line electric equipment according to the calculated benefit value;
s4.2, manually checking, judging whether the parameters meet the requirements, and if so, saving the output scheme data; if the data is not matched, the correction parameter data is verified, the analysis output scheme is recalculated, and the data is saved.
The invention has the beneficial effects that: the data mining algorithm and the artificial intelligence algorithm are used for modeling and analyzing the power distribution network data, the traditional artificial estimation means is changed, and the defects that the precision of artificial estimation is not accurate, the data sample size is not large, the data dimensionality is not large and the like are overcome. Adopting a heuristic method to construct an economic operation analysis model through network reconstruction, and carrying out local optimization analysis calculation on the large-scale power distribution network data; the model algorithm is utilized to complete the generation of an operation mode optimization strategy and output an optimized distribution network operation structure; the complex operation mode adjustment of the power distribution network is realized by means of an informatization tool and is accurately calculated by a computer; the manual repeated work is finished by the computer, so that the workload of dispatching personnel is reduced, and the working efficiency is improved; on the premise of guaranteeing the safety of a power grid and the reliability of power supply, the running loss, power and electric energy loss and the like of a distribution network are reduced, the operation cost of enterprises is reduced, and the benefit revenue of the enterprises is improved.
Drawings
Fig. 1 is a geographical path diagram of an economically operating distribution network according to the present invention.
FIG. 2 is a flow chart of the economic operation calculation of the present invention.
Detailed Description
The present invention is further illustrated by the following examples, which are not intended to limit the invention to these embodiments. It will be appreciated by those skilled in the art that the present invention encompasses all alternatives, modifications and equivalents as may be included within the scope of the claims.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be considered as limiting the present invention. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, unless otherwise specified, "a plurality" means two or more unless explicitly defined otherwise.
In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
The embodiment provides a method for analyzing and optimizing economic operation of a power distribution network, which comprises the following specific steps of:
step one, establishing a standard power distribution network equipment model;
the method comprises the following specific steps:
s1.1, collecting graph-model data of distribution line equipment, wherein the graph-model data comprises a model, a topology and a standing book of primary equipment of a power distribution network; s1.2, carrying out data analysis on the acquired distribution line equipment graph model data through a distribution network intelligent economic operation analysis system, and converting to establish a distribution network equipment model with a topological structure. The intelligent economic operation analysis system of the power distribution network is uniformly converged to an economic operation platform through the existing platform resource data and mainly comprises two aspects of circuit diagram module data and measurement data. The clustering and normalization processing of mass data is realized by utilizing an advanced big data technology and artificial intelligence, so that the actual power grid operation condition is close to, and the economic operation environment capable of realizing simulation calculation is achieved. The data analysis mainly comprises the steps of analyzing CIM and SVG files, analyzing the model, topology and ledger information in the CIM files meeting IEC61970/61968 standards to generate a primary equipment model, and analyzing the graphic information in the SVG files to obtain position information.
Secondly, data carding, namely establishing a unified data model and a standard database;
the method comprises the following specific steps:
s2.1, combing the information of the sample primary equipment model, the topology and the machine account;
s2.2, combing the relation between the sample house number and the metering point code and the relation between the user house number and the distribution transformer;
s2.3, combing the line measurement information of the sample, the user load measurement information and the hanging relation, and fusing a primary static equipment model and a secondary dynamic measurement data model of the distribution network; the method mainly comprises the steps of statically assigning a power grid primary equipment model, dynamically assigning real acquisition measurement data of power grid secondary equipment, and realizing the fusion of model configuration equipment models through the number of metering points of the primary equipment and the secondary equipment.
And S2.4, carrying out induction and integration on the multidimensional information data in the steps S2.1-S2.2, and establishing a unified data model and a standard database to form a database with a full model of the power distribution network. The induction and integration mainly refers to extracting a primary equipment model to generate topology, and then performing through integration with measured data. The unified data model refers to a model conforming to CIM61970/61968 standard, and the standard database refers to a database with ER relation conforming to the second paradigm.
Thirdly, constructing an economic operation algorithm model based on heuristic network reconstruction;
the embodiment uses the actual operation constraint condition, adopts a heuristic method to carry out network reconstruction by taking the analysis break point of the voltages at two ends of the interconnection switch as a criterion to obtain a local optimal solution, analyzes the break point of the interconnection switch which is calculated and analyzed, changes the operation structure of the power distribution network by changing the on-off state of the section switch and the interconnection switch, and seeks a network operation structure with the minimum line loss. For the initial interconnection switch of the loop circuit, the voltage U at two ends of the interconnection switch is judged first0Whether greater than U1Wherein U is1Calculating the voltage of nodes at two ends of the interconnection switch through the load flow; if the voltage U is0Greater than U1Closing the communication switch; otherwise, the group of loop circuits is not switched in a switch combination way and is simultaneously switched to U1And tracing a section switch in the direction, re-evaluating and analyzing the distribution network structure, and calculating the network loss NewNetLoss, thereby reducing the data calculation amount and improving the algorithm operation efficiency. According to the criterion, iterative mobile calculation is carried out on the group of loop circuit nodes, when NewNetLoss is determined to be accepted, NewNetLoss is used for replacing CurNetLoss, wherein CurNetLoss is the network loss generated by the power distribution network before the operation mode is adjusted, and simultaneously, the objective function value is corrected; one iteration is realized by NewNetLoss, and the next iteration can be started on the basis of the one iteration. And when the NewNetLoss is judged to be abandoned, iteratively moving the segmented switch node, and continuing the next iteration calculation until the NewNetLoss is larger than the NewNetLoss.
The method comprises the following specific steps:
s3.1, obtaining a sample feeder group ring, and calculating the current network loss; the feeder group ring is formed by mutually connecting two feeders of a hand in hand through a tie switch, and the network loss is calculated through load flow calculation.
S3.2, obtaining a sample initial value, namely a connection switch of the first ring; the tie switch is an end switch on a group of hand-pulled feeders analyzed according to the topology, and the switch is in an open state.
S3.3, judging the voltage U at two ends of the interconnection switch for the interconnection switch obtained from the group of looped network feeder data0Whether greater than U1If voltage U is present0Greater than U1Closing the communication switch; otherwise, the group of loop circuits is not switched in a switch combination way and is simultaneously switched to U1By tracing a section switch in the direction until the tie switch voltage U0Greater than U1Closing the interconnection switch state, disconnecting the subsection, performing new network loss calculation NewNetLoss on the data meeting the conditions, if the CurNetLoss is more than or equal to the NewNetLoss, backtracking the next subsection switch to calculate to obtain a better solution, otherwise, calculating the benefit value PLn of the group of rings, wherein the benefit value PLn is CurNetLoss-NewNetLoss;
and S3.4, judging whether all the fitting calculation of the group of ring data is finished by iterative calculation, if so, outputting all the adjusted scheme data, and stopping the iteration.
Calculating parameter checking analysis and correction to obtain a final economic operation algorithm model;
the method comprises the following specific steps:
s4.1, reversely calculating and verifying the electric quantity information data of the line electric equipment according to the calculated benefit value; the reverse calculation refers to calculating the network loss in the operation mode before adjustment through the integral theoretical line loss, calculating the network loss calculated by the integral theoretical line loss after adjustment, comparing the difference value of the two network losses with the calculated benefit of the scheme, and if the two network losses are consistent, indicating that the economic operation scheme is correctly calculated.
S4.2, manually checking, judging whether the parameters meet the requirements, and if so, saving the output scheme data; if the data is not matched, the correction parameter data is verified, the output scheme is recalculated and analyzed through the third step, and the data is stored. The parameters refer to the wire type, length and transformation ratio of distribution transformation of the circuit, and whether the parameters are consistent with a measurement value after participating in load flow calculation or not.
And fifthly, verifying and analyzing the final economic operation algorithm model. Specifically, for the scheme given by the economic operation algorithm, real control operation is carried out, the operation is carried out for a period of time, then the service system is compared with the network loss electric quantity with the same operation time before and after adjustment, and the verification reasonable scheme is obtained if the benefit is matched with the theoretical calculation.
According to the method, a data mining algorithm and an artificial intelligence algorithm are utilized to model and analyze the power distribution network data, the traditional artificial estimation means is changed, and the defects that the precision of artificial estimation is not accurate, the scale of a data sample is not large, the data dimension is not large and the like are overcome. Adopting a heuristic method to construct an economic operation analysis model through network reconstruction, and carrying out local optimization analysis calculation on the large-scale power distribution network data; the model algorithm is utilized to complete the generation of an operation mode optimization strategy and output an optimized distribution network operation structure; the complex operation mode adjustment of the power distribution network is realized by means of an informatization tool and is accurately calculated by a computer; the manual repeated work is finished by the computer, so that the workload of dispatching personnel is reduced, and the working efficiency is improved; on the premise of guaranteeing the safety of a power grid and the reliability of power supply, the running loss, power and electric energy loss and the like of a distribution network are reduced, the operation cost of enterprises is reduced, and the benefit revenue of the enterprises is improved.
In the aspect of economic operation, the loss of 756.7 kWh is saved for the economic operation adjustment year of 329 lines in a certain area through measurement and calculation since the switch is adjusted and operated at 8, month and 28 days in 2020, and the economic benefit is remarkable.
By adjusting the operation mode, the reliability index is improved from 99.9744% to 99.9748%.
The method analyzes the operation mode optimization strategy of the experimental distribution network region, carries out real control in 28 days 8 months in 2020, compares the monitoring data of 1 month in real control before and after, and tests the experimental lines (three groups of ring networks) Theaflavana and Liyunan lines; impression, skynes, jinbang lines; dongcun, south China, New Youdou; the comprehensive line loss rates of the three groups of double-ring networks are respectively reduced from 1.94%, 2.74% and 0.68% to 1.34%, 2.67% and 0.58% through verification. The average annual loss reduction value is calculated to reach 2.3 thousands kWh/feeder according to the stage loss reduction values of the 8 lines, and the expected target is reached.
Claims (5)
1. A method for analyzing and optimizing economic operation of a power distribution network comprises the following specific steps:
step one, establishing a standard power distribution network equipment model;
secondly, data carding, namely establishing a unified data model and a standard database;
thirdly, constructing an economic operation algorithm model based on heuristic network reconstruction;
calculating parameter checking analysis and correction to obtain a final economic operation algorithm model;
and fifthly, verifying and analyzing the final economic operation algorithm model.
2. The method for analyzing and optimizing economic operation of the power distribution network according to claim 1, wherein the method comprises the following steps: the specific steps of establishing a standard power distribution network equipment model in the first step are as follows:
s1.1, collecting graph-model data of distribution line equipment, wherein the graph-model data comprises a model, a topology and a standing book of primary equipment of a power distribution network;
and S1.2, carrying out data analysis on the acquired distribution line equipment graph model data, and converting to establish a power distribution network equipment model with a topological structure.
3. The method for analyzing and optimizing economic operation of the power distribution network according to claim 1, wherein the method comprises the following steps: and step two, the data is combed, and the specific steps of establishing a unified data model and a standard database are as follows:
s2.1, combing the information of the sample primary equipment model, the topology and the machine account;
s2.2, combing the relation between the sample house number and the metering point code and the relation between the user house number and the distribution transformer;
s2.3, combing the line measurement information of the sample, the user load measurement information and the hanging relation, and fusing a primary static equipment model and a secondary dynamic measurement data model of the distribution network;
and S2.4, carrying out induction and integration on the multidimensional information data in the steps S2.1-S2.2, and establishing a unified data model and a standard database to form a database with a full model of the power distribution network.
4. The method for analyzing and optimizing economic operation of the power distribution network according to claim 1, wherein the method comprises the following steps: in the third step, based on heuristic network reconstruction, the specific steps of constructing the economic operation algorithm model are as follows:
s3.1, obtaining a sample feeder group ring, and calculating the current network loss;
s3.2, obtaining a sample initial value, namely a connection switch of the first ring;
s3.3, judging the voltage U at two ends of the interconnection switch for the interconnection switch obtained from the group of looped network feeder data0Whether greater than U1If voltage U is present0Greater than U1Closing the communication switch; otherwise, the group of loop circuits is not switched in a switch combination way and is simultaneously switched to U1By tracing a section switch in the direction until the tie switch voltage U0Greater than U1Closing the interconnection switch state, disconnecting the subsection, performing new network loss calculation NewNetLoss on the data meeting the conditions, if the CurNetLoss is more than or equal to the NewNetLoss, backtracking the next subsection switch to calculate to obtain a better solution, otherwise, calculating the benefit value PLn of the group of rings;
and S3.4, judging whether all the fitting calculation of the group of ring data is finished by iterative calculation, if so, outputting all the adjusted scheme data, and stopping the iteration.
5. The method for analyzing and optimizing economic operation of the power distribution network according to claim 1, wherein the method comprises the following steps: the calculation parameter checking analysis and correction in the fourth step comprises the following steps:
s4.1, reversely calculating and verifying the electric quantity information data of the line electric equipment according to the calculated benefit value;
s4.2, manually checking, judging whether the parameters meet the requirements, and if so, saving the output scheme data; if the data is not matched, the correction parameter data is verified, the step three is returned, the analysis output scheme is recalculated, and the data is stored.
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