Research on the Construction of Electricity Market Operation Efficiency Assessment Model and Indicator Early Warning Based on Cloud Entropy Optimization Algorithm

被引：0

作者：

Ren, Longxia ^{[1
]}

Yang, Su ^{[1
]}

Wu, Dianning ^{[2
]}

Gao, Fangping ^{[3
]}

Su, Yuhong ^{[4
]}

机构：

[1] Guangzhou Power Exchange Center, Guangdong, Guangzhou

[2] Kunming Power Exchange Center, Yunnan, Kunming

[3] Guizhou Power Exchange Center, Guizhou, Guiyang

[4] Hainan Power Exchange Center, Hainan, Haikou

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Assessment system; Cloud entropy optimization algorithm; Cloud model; Power market operational efficiency; Risk warning;

D O I：

10.2478/amns-2024-2471

中图分类号：

学科分类号：

摘要：

In this paper, we first constructed the indexes for evaluating the operational efficiency of the electric power market, and screened the indexes by using the Delphi method. Then, the basic numerical characteristics of the cloud model are explored, and the hierarchical boundaries of the power market operational efficiency assessment indexes are delineated. The market operational efficiency assessment model is established by using the cloud entropy optimization algorithm, and the objective weights are determined by the entropy weighting method. The market operation efficiency assessment model is used to analyze the operation efficiency of the power market, and targeted suggestions are made to address existing problems. Finally, the risk warning threshold of the operation efficiency of the power market is set. The risk warning of the operation efficiency of the power market is analyzed. The predicted values and expected output values are compared to validate the applicability of the model in this application. The average value of the operation efficiency of the power market is 3.3, the level of efficiency is between 2 and 3, and the power market operation efficiency is in the range of 2-3. The range is 2-3, and the grade of power market operational effectiveness is medium. This study helps improve the operational efficiency of the power industry and optimize the allocation of market resources in the power industry. © 2024 Longxia Ren, Su Yang, Dianning Wu, Fangping Gao and Yuhong Su, published by Sciendo.

引用

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