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电能-调频市场下梯级水风光储联合系统多目标优化调度

张彬桥 杨智舜 陈庆松 章泽生

水力发电学报2025,Vol.44Issue(2):50-62,13.
水力发电学报2025,Vol.44Issue(2):50-62,13.DOI:10.11660/slfdxb.20250205

电能-调频市场下梯级水风光储联合系统多目标优化调度

Multi-objective optimal dispatch of cascade hydro-wind-solar-storage hybrid systems in power and frequency regulation market

张彬桥 1杨智舜 1陈庆松 2章泽生2

作者信息

  • 1. 三峡大学 电气与新能源学院,湖北 宜昌 443002||梯级水电站运行与控制湖北省重点实验室,湖北 宜昌 443002
  • 2. 云南华电金沙江中游水电开发有限公司,昆明 650025
  • 折叠

摘要

Abstract

Uncertainties in wind and solar power outputs reduce their market competitiveness.Participation of cascade hydropower,wind,solar,and storage systems in energy and frequency regulation markets has become an effective means to achieve high-quality renewable energy supply.This study first develops a day-ahead bidding model and a real-time adjustment and frequency regulation response model for such hybrid systems that participate in these regulation markets.To address the uncertainty in wind and solar outputs,we develop a distributionally robust chance-constrained model,based on the Wasserstein distance fuzzy set for the systems'market participation.Then,a bi-objective optimization is made to maximize day-ahead market revenue and minimize real-time adjustment deviations.And a normalized normal constraint(NNC)method is used to obtain Pareto frontier solutions;the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)method is used to select the optimal solution from the Pareto front.Application to a case study of a river basin in southwestern China verifies our method and the models prove effective,rational,and applicable.

关键词

梯级水电/联合运行/调频辅助市场/分布鲁棒机会约束/规格化平面约束法

Key words

cascade hydropower station/joint operation/frequency regulation ancillary services market/distributionally robust chance constraint/normalized normal constraint method

分类

信息技术与安全科学

引用本文复制引用

张彬桥,杨智舜,陈庆松,章泽生..电能-调频市场下梯级水风光储联合系统多目标优化调度[J].水力发电学报,2025,44(2):50-62,13.

基金项目

国家自然科学基金(52007103) (52007103)

水力发电学报

OA北大核心

1003-1243

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