CN-121998303-A - Distributed resource aggregation method, system, equipment and medium based on carbon emission reduction

CN121998303ACN 121998303 ACN121998303 ACN 121998303ACN-121998303-A

Abstract

The invention relates to the technical field of resource aggregation, and discloses a distributed resource aggregation method, a system, equipment and a medium based on carbon emission reduction, which comprise the steps of optimizing the reference capacity of each aggregator according to the carbon emission reduction amount to obtain a capacity reference value of the aggregator; according to the attribute information of the aggregators and the operation characteristics of the resources, calculating a first aggregation index of the aggregators and a second aggregation index of the distributed renewable energy sources, obtaining a resource selection sequence according to the first aggregation index, obtaining an aggregation selection sequence according to the second aggregation index, calculating a first perception utility of the aggregators and a second perception utility of the distributed renewable energy sources according to the resource selection sequence and the aggregation selection sequence, establishing a bilateral matching model by taking the maximization of the first perception utility and the second perception utility as an objective function and taking a capacity reference value as a constraint condition, and solving to obtain an optimal aggregation scheme. The invention can realize the optimal configuration of the power resources and improve the stability and reliability of the operation of the power grid.

Inventors

ZOU BO
YAN JIAXIANG
Zhao Kuangzheng
YU MINMING
ZHANG TAO

Assignees

国网浙江省电力有限公司信息通信分公司

Dates

Publication Date: 20260508
Application Date: 20251229

Claims (10)

1. A distributed resource aggregation method based on carbon emission reduction, comprising: Optimizing the reference capacity of the distributed renewable energy sources of each polymer according to the carbon emission reduction capacity to obtain capacity reference values of various distributed renewable energy sources of each polymer; According to the attribute information of the aggregators and the resource operation characteristics of the distributed renewable energy sources, calculating a first aggregation index of the aggregators to each distributed renewable energy source and a second aggregation index of the distributed renewable energy source to each aggregators; obtaining a resource selection sequence of a polymerizer according to the first polymerization index, and obtaining a polymerization selection sequence of distributed renewable energy according to the second polymerization index; according to the resource selection sequence and the aggregation selection sequence, calculating a first perception utility of an aggregator and a second perception utility of distributed renewable energy sources by adopting a disappointing theory; and establishing a bilateral matching model by taking the maximization of the first perception utility and the second perception utility as an objective function and taking the capacity reference value as a constraint condition, and solving the bilateral matching model to obtain an optimal aggregation scheme.
2. The carbon emission reduction-based distributed resource aggregation method according to claim 1, wherein the step of optimizing the reference capacity of the distributed renewable energy sources of each aggregator according to the carbon emission reduction amount to obtain the capacity reference value of each type of distributed renewable energy source of each aggregator comprises: taking carbon emission reduction, waste electric quantity and total operation cost of an aggregate set as optimization targets, and taking power constraint, quantity constraint and carbon emission flow deviation constraint of the distributed renewable energy sources as constraint conditions to establish a reference capacity optimization model; And solving the reference capacity optimization target to obtain capacity reference values of various distributed renewable energy sources of each aggregator.
3. The method for aggregating distributed resources based on carbon emission reduction according to claim 1, wherein the step of calculating a first aggregate index of the aggregate for each of the distributed renewable energy sources and a second aggregate index of the distributed renewable energy sources for each of the aggregate sources according to the attribute information of the aggregate sources and the resource operation characteristics of the distributed renewable energy sources comprises: According to the profit value, the carbon reduction amount and the external power interaction value of the aggregator before and after resource aggregation, respectively calculating a profit index, a carbon reduction index and a flexibility margin index, and according to the historical operation data of the distributed renewable energy sources, calculating an output stability index; Taking the benefit index, the carbon reduction index, the flexibility margin index and the output stability index as a first aggregation index; And respectively calculating a production capacity index, an aggregation cost index and a resource stability index according to the actual power generation amount, the aggregation operation cost and the resource output power of the aggregator, and taking the production capacity index, the aggregation cost index and the resource stability index as second aggregation indexes.
4. The method for polymerizing resources based on carbon emission reduction according to claim 3, wherein the step of obtaining a resource selection sequence of an aggregator according to the first polymerization index and obtaining a polymerization selection sequence of a distributed renewable energy source according to the second polymerization index comprises: normalizing and weighting summation is carried out on the first aggregation index to obtain a first selection score of the aggregation quotient on various distributed renewable energy sources; Sorting the first selection scores to obtain a resource selection sequence; normalizing and weighting summation is carried out on the second polymerization indexes to obtain second selection scores of the distributed renewable energy sources on all the polymerization merchants; and sequencing the second selection scores to obtain an aggregation selection sequence.
5. The method for carbon-reduction-based distributed resource aggregation according to claim 1, wherein the step of calculating the first perceived utility of the aggregator and the second perceived utility of the distributed renewable energy source using the disappointing theory according to the resource selection sequence and the aggregation selection sequence comprises: Calculating a first preferred utility of the aggregator for each distributed renewable energy source based on the resource selection sequence; According to the difference value of the first preference effect between each type of distributed renewable energy source and other distributed renewable energy sources, a preset disappointing function and a preset euphoric function are adopted, and a first disappointing value and a first euphoric value of an aggregate for each type of distributed renewable energy source are calculated; According to preset disappointing weights and euphoria weights, carrying out weighted calculation on the first preference utility, the first disappointing value and the first euphoria value to obtain a first perception utility of an aggregate to each distributed renewable energy source; calculating a second preferential utility of the distributed renewable energy source to each aggregator according to the aggregate selection sequence; according to the difference value of the second preference utility between each cluster quotient and other cluster quotients, a disappointing function and a happiness function are adopted, and a second disappointing value and a second happiness value of the distributed renewable energy source to each cluster quotient are calculated; And according to the disappointing weight and the euphoric weight, carrying out weighted calculation on the second preference utility, the second disappointing value and the second euphoric value to obtain a second perception utility of the distributed renewable energy source to each aggregator.
6. The method for carbon-reduction-based distributed resource aggregation according to claim 5, wherein the step of calculating the first perceived utility of the aggregator and the second perceived utility of the distributed renewable energy source using the disappointing theory according to the resource selection sequence and the aggregation selection sequence further comprises: calculating a first historical utility of each distributed renewable energy source by the aggregators and a second historical utility of each distributed renewable energy source by the aggregators according to the history matching records; Carrying out weighted summation on the first historical utility and the first perceived utility to obtain updated first perceived utility; And carrying out weighted summation on the second historical utility and the second perception utility to obtain updated second perception utility.
7. The carbon-reduction-based distributed resource aggregation method according to claim 5, wherein the function parameters of the disappointing function and the euphoric function, the disappointing weight and the euphoric weight are adaptively adjusted by: Acquiring feedback data after actual matching aggregation of each round, and acquiring utility deviation between actual utility and expected utility of each distributed renewable energy source by an aggregator according to the feedback data; Obtaining parameter adjustment values of an aggregate for each distributed renewable energy source according to the utility deviation and a preset self-adaptive adjustment factor, wherein the parameter adjustment values comprise disappointing parameter adjustment values and happiness parameter adjustment values; According to the disappointing parameter adjusting value, the original disappointing parameter of the disappointing function is adjusted to obtain an adjusted disappointing parameter; According to the euphoric parameter adjusting value, the original euphoric parameter of the euphoric function is adjusted to obtain an adjusted euphoric parameter; And according to the adjusted disappointing parameter and the adjusted happiness parameter, adopting a proportion calculation function to obtain the adjusted disappointing weight and the adjusted happiness weight.
8. A distributed resource aggregation system based on carbon emission reduction, comprising: The reference optimizing module is used for optimizing the reference capacity of the distributed renewable energy sources of each polymerizer according to the carbon emission reduction amount to obtain the capacity reference value of each type of distributed renewable energy source of each polymerizer; The selection ordering module is used for calculating a first aggregation index of the aggregation merchant for each distributed renewable energy source and a second aggregation index of the distributed renewable energy source for each aggregation merchant according to the attribute information of the aggregation merchant and the resource operation characteristics of the distributed renewable energy sources; obtaining a resource selection sequence of a polymerizer according to the first polymerization index, and obtaining a polymerization selection sequence of distributed renewable energy according to the second polymerization index; The bilateral matching module is used for calculating the first perceived utility of the aggregator and the second perceived utility of the distributed renewable energy source by adopting a disappointing theory according to the resource selection sequence and the aggregation selection sequence; and establishing a bilateral matching model by taking the maximization of the first perception utility and the second perception utility as an objective function and taking the capacity reference value as a constraint condition, and solving the bilateral matching model to obtain an optimal aggregation scheme.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when the computer program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.

Description

Distributed resource aggregation method, system, equipment and medium based on carbon emission reduction Technical Field The invention relates to the technical field of resource aggregation, in particular to a distributed resource aggregation method, system, equipment and medium based on carbon emission reduction. Background The distributed renewable energy sources (Distributed Renewable Energy, DRE) have the characteristics of large-scale dispersion, wide position distribution and the like, and simultaneously have the advantages of on-site development, near utilization, flexibility, high efficiency and the like. Currently, the technology of an aggregator is considered as an effective means for solving the problem of large-scale decentralized DRE resource aggregation, control and scheduling, and can effectively aggregate and manage resources by utilizing advanced network communication, real-time monitoring and accurate metering modes. The existing resource aggregation method has the limitations that on one hand, the existing method mostly lacks full consideration of global information of carbon emission reduction properties from the single-side view of maximizing the benefits of an aggregator or maximizing the benefits of DREs, aggregation of the aggregator and the DREs cannot be guided from the global optimal view, on the other hand, the existing method mainly depends on judgment or simple economic indexes when performing aggregation evaluation, lacks systematic evaluation based on objective data, and has insufficient accuracy of evaluation results, and on the other hand, the existing aggregation mechanism mostly lacks single-side matching and lacks double-side matching mechanism considering the carbon emission reduction properties, so that the aggregation result is difficult to realize uniformity of stability and optimality. Disclosure of Invention In order to solve the technical problems, the invention provides a distributed resource aggregation method, a system, equipment and a medium based on carbon emission reduction, which can realize the optimal aggregation configuration of the whole power system on the premise of fully considering the carbon emission reduction attribute. In a first aspect, the present invention provides a distributed resource aggregation method based on carbon emission reduction, the method comprising: Optimizing the reference capacity of the distributed renewable energy sources of each polymer according to the carbon emission reduction capacity to obtain capacity reference values of various distributed renewable energy sources of each polymer; According to the attribute information of the aggregators and the resource operation characteristics of the distributed renewable energy sources, calculating a first aggregation index of the aggregators to each distributed renewable energy source and a second aggregation index of the distributed renewable energy source to each aggregators; obtaining a resource selection sequence of a polymerizer according to the first polymerization index, and obtaining a polymerization selection sequence of distributed renewable energy according to the second polymerization index; according to the resource selection sequence and the aggregation selection sequence, calculating a first perception utility of an aggregator and a second perception utility of distributed renewable energy sources by adopting a disappointing theory; and establishing a bilateral matching model by taking the maximization of the first perception utility and the second perception utility as an objective function and taking the capacity reference value as a constraint condition, and solving the bilateral matching model to obtain an optimal aggregation scheme. Further, the step of optimizing the reference capacity of the distributed renewable energy sources of each polymer according to the carbon emission reduction amount to obtain the capacity reference value of each type of distributed renewable energy source of each polymer comprises the following steps: taking carbon emission reduction, waste electric quantity and total operation cost of an aggregate set as optimization targets, and taking power constraint, quantity constraint and carbon emission flow deviation constraint of the distributed renewable energy sources as constraint conditions to establish a reference capacity optimization model; And solving the reference capacity optimization target to obtain capacity reference values of various distributed renewable energy sources of each aggregator. Further, the step of calculating a first aggregation index of the aggregator for each distributed renewable energy source and a second aggregation index of the distributed renewable energy source for each aggregator according to the attribute information of the aggregator and the resource operation characteristic of the distributed renewable energy source includes: According to the profit value, the carbon reduction amount and the external