Research on the Day-Ahead Operation Decision Making Method for the Electric-Thermal System Based on Grey Fuzzy Evaluation

doi:10.11930/j.issn.1004-9649.202210055

Abstract

Abstract: The day-ahead operation decision of the electric-thermal system affects the economy and reliability of the next day's system operation. Therefore, it is significant to develop a reasonable operation decision plan. To solve problems of the traditional decision making method, such as the insufficient rationality of index weighting and the failure to consider the grayness and fuzziness of information, a day-ahead operation decision making method based on grey fuzzy evaluation is proposed. To improve the rationality of index weights, the minimum-cross entropy method is used to obtain comprehensive weights that consider the intrinsic connection between subjective and objective weights. To reduce the negative impact of information grayness and expert scoring ambiguity on the solution scoring, this paper constructs a grey fuzzy evaluation model for the electric-thermal system and designs a day-ahead operation decision algorithm based on this model. Finally, this algorithm is used to develop a day-ahead operation decision scheme for an electric-thermal system located at an industrial park. The results show that the operation decision scheme can improve the economy and reliability of the system.

Key words: electric-thermal system, minimum-cross entropy method, gray fuzzy evaluation, operation decision plan, day-ahead decision-making

WANG Zhe, YANG Xu, ZHU Di, LI Xianglong, XING Qijing, WANG Liyong, WANG Linyu. Research on the Day-Ahead Operation Decision Making Method for the Electric-Thermal System Based on Grey Fuzzy Evaluation[J]. Electric Power, 2023, 56(9): 215-225.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202210055

https://www.electricpower.com.cn/EN/Y2023/V56/I9/215

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