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

doi:10.16183/j.cnki.jsjtu.2022.121

Abstract

Abstract:

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.

Key words: bi-level electricity market, two-stage economic dispatch, uncertainty of source-load, ambiguity set, distributionally robust optimization

CLC Number:

TM732

CHEN Yi, WANG Han, XU Xiaoyuan, HU Youlin, YAN Zheng, ZENG Dan, FENG Kai. A Two-Stage Distributionally Robust Economic Dispatch Model Under the Coordination of Inter-Provincial and Intra-Provincial Bi-Level Market[J]. Journal of Shanghai Jiao Tong University, 2023, 57(9): 1114-1125.

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受端省份	新能源风光电厂接入点	送端C省联络线接入点	送端D省联络线接入点	送端E省联络线接入点
A省	节点20	节点10	节点18	节点16
B省	节点70	节点37	节点79	节点107

受端省份	省内发电成本/元	省间购电成本/元	备用成本/元	总成本/元
A省	492310	35136	265020	792466
B省	880837	115523	193154	1189514

发/购电	A省成本/元	B省成本/元	总成本/元
非阻塞-省内发电	492310	880837	1373147
阻塞-省内发电	482420	890610	1373030
非阻塞-省间购电	35136	115523	150659
阻塞-省间购电	45007	106033	151040

优化算法	备用成本/元	弃风弃光成本/元	削负荷成本/元	总成本/元
SO	187672	110132	307028	604832
RO	210744	250533	480136	941413
DRO(1-范数)	187548	109684	312424	609656
DRO(∞-范数)	187343	112650	312331	612324

优化算法	总成本平均值/元	总成本最大值/元	总成本最小值/元	标准差/ 元
SO	2465734	2676148	2233658	84397
DRO(1-范数)	2493761	2578582	2388515	71523
DRO(∞-范数)	2532489	2592486	2407077	73295