基于改进Critic-G1算法的发电商市场力综合评价方法

doi:10.11930/j.issn.1004-9649.202101085

中国电力 ›› 2021, Vol. 54 ›› Issue (11): 59-67.DOI: 10.11930/j.issn.1004-9649.202101085

• 电力市场建设及运行机制专栏 • 上一篇下一篇

基于改进Critic-G1算法的发电商市场力综合评价方法

李雪松, 蒋宇, 刘胥雯, 王阳, 丁羽

江苏电力交易中心有限公司,江苏南京 210008

收稿日期:2021-01-17 修回日期:2021-07-05 出版日期:2021-11-05 发布日期:2021-11-16
作者简介:李雪松(1981-),男,工程师,从事电力市场研究,E-mail:xuesonglee@126.com
基金资助:
国家电网有限公司科技项目(能源互联网背景下集中与分散决策的电力市场互动机制和基于区块链的分布式交易支撑技术研究，5108-201918043A-0-0-00)

A Comprehensive Evaluation Method for Market Power of Generation Companies Based on Improved Critic-G1 Algorithm

LI Xuesong, JIANG Yu, LIU Xuwen, WANG Yang, DING Yu

Jiangsu Power Exchange Center, Nanjing 210008, China

Received:2021-01-17 Revised:2021-07-05 Online:2021-11-05 Published:2021-11-16
Supported by:
This work is supported by Science and Technology Project of SGCC (Research on the Electricity Market Interaction Mechanism of Centralized and Decentralized Decision Making and Distributed Trading Support Technology Based on Blockchain under the Background of Energy Internet, No.5108-201918043A-0-0-00)

摘要/Abstract

摘要： 电力市场领域中，发电商市场力的存在会导致电力资源配置效率低下，损害社会福利，降低市场竞争效率。对发电商行使市场力的行为方式进行分析，建立发电商市场力风险评估指标体系，并应用改进Critic-G1组合赋权法对某地区发电商市场力风险进行综合评价。算例结果表明，该地区发电商市场力水平各异。所提方法已在华东某省电力市场得到了实际应用并取得良好的效果，可为其他地区市场运营机构有效识别发电商市场力风险提供一定的依据及参考。

关键词: 风险评估, 发电商市场力, 改进Critic法, G1法, 组合赋权法

Abstract: In the field of electricity market, the existence of market power of generation companies will lead to inefficient allocation of electricity resources, harm social welfare, and reduce the efficiency of market competition. This article analyzes the behaviors of generation companies, and establishes a market power risk evaluation index system for generation companies, and applies the improved Critic-G1 comprehensive weighting method to evaluate the market power risk of generation companies in a region. The results of the case study show that the market power levels of generation companies in this region are different. The proposed method in this paper has been applied in a province of East China and achieved good results, which can provide a reference for market operators to effectively identify the market power risks of generation companies.

Key words: risk evaluation, market power of generation companies, improved Critic method, G1 method, combination weighting method

李雪松, 蒋宇, 刘胥雯, 王阳, 丁羽. 基于改进Critic-G1算法的发电商市场力综合评价方法[J]. 中国电力, 2021, 54(11): 59-67.

LI Xuesong, JIANG Yu, LIU Xuwen, WANG Yang, DING Yu. A Comprehensive Evaluation Method for Market Power of Generation Companies Based on Improved Critic-G1 Algorithm[J]. Electric Power, 2021, 54(11): 59-67.

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基于改进Critic-G1算法的发电商市场力综合评价方法

A Comprehensive Evaluation Method for Market Power of Generation Companies Based on Improved Critic-G1 Algorithm

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基于改进Critic-G1算法的发电商市场力综合评价方法

A Comprehensive Evaluation Method for Market Power of Generation Companies Based on Improved Critic-G1 Algorithm

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