A Two-Stage Distributionally Robust Economic Dispatch Model Under the Coordination of Inter-Provincial and Intra-Provincial Bi-Level Market

被引：0

作者：

Chen Y. ^{[1
]}

Wang H. ^{[1
]}

Xu X. ^{[1
]}

Hu Y. ^{[2
]}

Yan Z. ^{[1
]}

Zeng D. ^{[3
]}

Feng K. ^{[3
]}

机构：

[1] Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai

[2] Power Dispatching and Control Center, State Grid Shanghai Municipal Electric Power Company, Shanghai

[3] China Electric Power Research Institute (Nanjing Branch), Nanjing

来源：

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2023年 / 57卷 / 09期

关键词：

ambiguity set; bi-level electricity market; distributionally robust optimization; two-stage economic dispatch; uncertainty of source-load;

D O I：

10.16183/j.cnki.jsjtu.2022.121

中图分类号：

学科分类号：

摘要：

To promote the optimal allocation of resources across the country, China is actively developing inter-provincial electricity transactions, and will gradually form an inter-provincial and intra-provincial electricity market operation mode. In this context, a two-stage day-ahead, and intraday economic dispatch framework considering inter-provincial and intra-provincial bi-level market coordinated operation is proposed. In the day-ahead dispatch stage, an inter-provincial and intra-provincial bi-level economic dispatch model is constructed. In the intraday dispatch stage, an economic dispatch model considering the forecast error of source-load is constructed. To further deal with the influence of the uncertainty of source-load forecast on economic dispatch, a two-stage day-ahead and intraday distributionally robust economic dispatch model and its solution method are proposed, realizing the economic dispatch under random scene ambiguity set. Finally, a multi-sending ends and multi-receiving ends interconnected test system is constructed using IEEE 39-bus and 118-bus systems. The effectiveness of the proposed model and method is verified by simulation. © 2023 Shanghai Jiao Tong University. All rights reserved.

引用

页码：1114 / 1125

页数：11

共 25 条

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