CN-121998505-A - Resource adjustment capability assessment method, device, equipment, medium and product

CN121998505ACN 121998505 ACN121998505 ACN 121998505ACN-121998505-A

Abstract

The invention relates to the technical field of power dispatching and discloses a resource dispatching capability evaluation method, a device, equipment, a medium and a product, wherein the method comprises the steps of obtaining a resource evaluation index and a characteristic label of industrial and commercial loads to be evaluated; the method comprises the steps of calculating the similarity between the industrial and commercial loads in a weight knowledge base and the industrial and commercial loads to be evaluated, determining a weight correction strategy in a fuzzy rule base according to expert experience confidence coefficient and data characteristic adaptation degree of resource evaluation indexes if the similarity is smaller than a preset quantity, correcting initial weights of the resource evaluation indexes according to the strategy to obtain an intermediate weight set, and calculating a resource adjustment capability evaluation value by combining the resource evaluation indexes and the intermediate weight set. The invention firstly obtains the resource evaluation index to determine the preliminary weight, then corrects the weight through the fuzzy rule base, calculates the evaluation value for evaluating the industrial and commercial load adjustment capability, and solves the problem that the new users can not predict the market value positioning of the self adjustment capability.

Inventors

ZHOU XIAO
YAN JUN
PAN ZHONGQI
Li Cunkai
LIU JIE
Guo Mianming
LI ZILIN

Assignees

中国长江三峡集团有限公司

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. A method for evaluating resource adjustment capability, the method comprising: Acquiring various resource evaluation indexes and characteristic labels of industrial and commercial loads to be evaluated, wherein the various resource evaluation indexes comprise unit adjustment cost, second-level adjustable capacity, minute-level adjustable capacity, power limit adjustment sustainable duration, response time, adjustment precision and total adjustment contribution electric quantity; Calculating the similarity between the industrial and commercial loads in the weight knowledge base and the industrial and commercial loads to be evaluated according to the characteristic labels; If the number of the industrial and commercial loads, which satisfy the conditions with the similarity of the industrial and commercial loads to be evaluated, in the weight knowledge base is smaller than the preset number, determining a weight correction strategy in a fuzzy rule base according to expert experience confidence and data characteristic adaptation of each resource evaluation index, wherein the fuzzy rule base comprises corresponding relations between different expert experience confidence and data characteristic adaptation and the correction strategy, and the data characteristic adaptation is used for representing the association degree between the resource evaluation index and the core evaluation index; correcting the initial weights of the resource evaluation indexes according to a weight correction strategy to obtain an intermediate weight set containing intermediate weights of the resource evaluation indexes; And calculating according to the various resource evaluation indexes and the intermediate weight set to obtain a resource adjustment capability evaluation value.
2. The method of claim 1, wherein the obtaining the resource assessment metrics for the business load under assessment comprises: Determining various initial resource evaluation indexes of the industrial and commercial loads to be evaluated; Preprocessing the initial resource evaluation indexes to obtain the resource evaluation indexes, wherein the preprocessing comprises dimensionless calculation and positive and negative index quantitative calculation of the initial resource evaluation indexes.
3. The method of claim 1, wherein correcting the initial weights of the resource assessment indicators according to the weight correction policy results in an intermediate weight set comprising intermediate weights of the resource assessment indicators, comprising: determining initial weights of the resource evaluation indexes; Determining a weight correction strategy in a fuzzy rule base according to expert experience confidence and data characteristic adaptation of each resource evaluation index, correcting initial weights of each resource evaluation index according to the weight correction strategy to obtain intermediate weights of each resource evaluation index, wherein the intermediate weights comprise intermediate weights of each resource evaluation index of the same industrial and commercial load in a centralized manner.
4. The method of claim 1, wherein if the number of business loads in the weight knowledge base that satisfy the condition for similarity to the business load to be evaluated is greater than or equal to the preset number, the method further comprises: according to the similarity between each industrial and commercial load in the weight knowledge base and the industrial and commercial load to be evaluated, selecting a preset number of industrial and commercial loads as source industrial and commercial loads; calculating an intermediate weight set of each resource evaluation index of the industrial and commercial load to be evaluated according to the weights of each resource evaluation index of the source industrial and commercial load recorded in a weight knowledge base; And calculating according to the various resource evaluation indexes and the intermediate weight set to obtain a resource adjustment capability evaluation value.
5. The method according to any one of claims 1 to 4, further comprising: Acquiring actual data of the industrial and commercial load to be evaluated when the industrial and commercial load participates in power regulation; determining deviation according to actual data and a resource adjustment capability evaluation value; If the deviation is larger than a preset deviation threshold, optimizing the middle weight set of each index to obtain a final weight set; and correspondingly storing the characteristic labels of the industrial and commercial loads to be evaluated and the final weight set into the weight knowledge base.
6. The method of claim 1, wherein the signature tag includes an industry type, a primary equipment type, and a load characteristic, and wherein the calculating the similarity of the business load in the weight knowledge base to the business load to be evaluated based on the signature tag includes: respectively determining the industrial and commercial loads in the weight knowledge base and characteristic labels of the industrial and commercial loads to be evaluated; calculating the similarity of each characteristic in the characteristic labels of the industrial and commercial loads and the industrial and commercial loads to be evaluated; And carrying out weighted summation on the similarity of each characteristic according to the experience weight to obtain the similarity of the industrial and commercial load and the industrial and commercial load to be evaluated.
7. A resource adjustment capability assessment apparatus, the apparatus comprising: The system comprises an index acquisition module, a power limit adjustment module and a characteristic label, wherein the index acquisition module is used for acquiring various resource evaluation indexes and characteristic labels of industrial and commercial loads to be evaluated, and the various resource evaluation indexes comprise unit adjustment cost, second-level adjustable capacity, minute-level adjustable capacity, power limit adjustment sustainable time, response time, adjustment precision and total adjustment contribution electric quantity; the similarity judging module is used for calculating the similarity between the industrial and commercial loads in the weight knowledge base and the industrial and commercial loads to be evaluated according to the characteristic labels; The strategy confirmation module is used for determining a weight correction strategy in a fuzzy rule base according to expert experience confidence and data characteristic adaptation of each resource evaluation index if the number of the industrial and commercial loads, which are similar to the industrial and commercial loads to be evaluated, in the weight knowledge base meets the conditions is smaller than a preset number; The weight correction module is used for correcting the initial weights of the resource evaluation indexes according to a weight correction strategy to obtain an intermediate weight set containing intermediate weights of the resource evaluation indexes, the fuzzy rule base comprises corresponding relations between different expert experience confidence degrees and data characteristic adaptation degrees and the correction strategy, and the data characteristic adaptation degrees are used for representing the association degree between the resource evaluation indexes and the core evaluation indexes; And the evaluation calculation module is used for calculating and obtaining a resource adjustment capability evaluation value according to the various resource evaluation indexes and the intermediate weight set.
8. An electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform a resource adjustment capability assessment method according to any one of claims 1 to 6.
9. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform a resource adjustment capability assessment method according to any one of claims 1 to 6.
10. A computer program product comprising computer instructions for causing a computer to perform a resource adjustment capability assessment method according to any one of claims 1 to 6.

Description

Resource adjustment capability assessment method, device, equipment, medium and product Technical Field The invention relates to the technical field of power dispatching, in particular to a resource dispatching capability assessment method, a device, equipment, a medium and a product. Background With the increase of new energy permeability, the virtual power plant (Virtual Power Plant, VPP) serves as a key carrier for aggregating distributed energy resources, and becomes an important technical path for improving the flexibility of an electric power system and promoting the consumption of renewable energy. The regulation and control requirements of the power grid on industrial and commercial flexible resources are increasingly urgent, and scientific comprehensive assessment of regulation capability is a core premise for realizing efficient regulation and control. Currently, commercial and industrial load users (such as industrial parks, commercial complexes and the like) newly introduced into the market are taken as important resource main bodies of the virtual power plants, and the adjustment capability of the commercial load users directly influences the market competitiveness and user participation of an aggregator. In the existing evaluation method, most methods only pay attention to single dimension indexes, a complete index system is not formed, and especially, scene indexes such as second-level/minute-level adjustable capacity distinction, power limit adjustment sustainable time and the like are ignored, so that evaluation and actual regulation and control requirements are disjointed. In the method of focusing on the multidimensional index, there is a problem that the weight of each index is difficult to determine. Thus, the new market-entering user cannot predict the value positioning of self-regulating capacity in the market, and the decision of participating in the electric power market service (such as spot market, peak shaving auxiliary service market and frequency modulation auxiliary service market) is lack of basis. The aggregator cannot formulate differentiated subscription strategies based on objective data, so that the resource aggregation efficiency is low. Disclosure of Invention The invention provides a resource adjustment capability assessment method, a device, equipment, a medium and a product, which are used for solving the problem that a newly marketed user cannot predict the value positioning of the self adjustment capability in the market. In a first aspect, the present invention provides a method for evaluating resource adjustment capability, including: Acquiring various resource evaluation indexes and characteristic labels of industrial and commercial loads to be evaluated, wherein the various resource evaluation indexes comprise unit adjustment cost, second-level adjustable capacity, minute-level adjustable capacity, power limit adjustment sustainable time length, response time, adjustment precision and total adjustment contribution electric quantity; calculating the similarity between the industrial and commercial loads in the weight knowledge base and the industrial and commercial loads to be evaluated according to the feature labels; If the number of the industrial and commercial loads, which satisfy the conditions with the similarity of the industrial and commercial loads to be evaluated, in the weight knowledge base is smaller than the preset number, determining a weight correction strategy in a fuzzy rule base according to expert experience confidence and data characteristic adaptation of each resource evaluation index, wherein the fuzzy rule base comprises the corresponding relations between different expert experience confidence and data characteristic adaptation and the correction strategy, and the data characteristic adaptation is used for representing the association degree between the resource evaluation index and the core evaluation index; Correcting the initial weights of the resource evaluation indexes according to the weight correction strategy to obtain an intermediate weight set containing intermediate weights of the resource evaluation indexes; and calculating according to each resource evaluation index and the intermediate weight set to obtain a resource adjustment capability evaluation value. Various resource assessment indexes affecting the industrial and commercial load adjustment capability are defined. Acquiring each resource evaluation index of the industrial and commercial load to be evaluated, confirming initial weights corresponding to each resource evaluation index, and correcting the initial weights by adopting a weight correction strategy to obtain more accurate weight information. Therefore, the resource adjustment capability evaluation value is calculated according to the corrected weight information, and the more accurate response adjustment capability of the industrial and commercial load to be evaluated can be obtained, so that the effect tha