Risk-Sharing-Considered Oriented Optimization Approach for Day-Ahead and Intra-Day Demand Response in Virtual Power Plants
Dispatch & Operation|更新时间:2026-02-11
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Risk-Sharing-Considered Oriented Optimization Approach for Day-Ahead and Intra-Day Demand Response in Virtual Power Plants
“Experts propose a virtual power plant demand response optimization method to address energy shortages and pollution issues. By constructing a collaborative scheduling strategy and improving the demand response mechanism, it effectively addresses the uncertainty of renewable energy, ensures fair distribution of economic benefits and risk sharing of flexible load resources, and significantly improves system scheduling efficiency and risk resistance.”
Electric Power ConstructionVol. 47, Issue 2, Pages: 124-135(2026)
作者机构:
1.国网绍兴供电公司,浙江省绍兴市 312000
2.安徽大学电气工程与自动化学院,合肥市 230039
作者简介:
基金信息:
National Natural Science Foundation of China Youth Program(52407074);Anhui Provincial Natural Science Foundation Youth Program(2308085QE177)
ZHU Jiangfeng,PEI Zhigang,CHEN Xiaoyu,et al.Risk-Sharing-Considered Oriented Optimization Approach for Day-Ahead and Intra-Day Demand Response in Virtual Power Plants[J].Electric Power Construction,2026,47(02):124-135.
ZHU Jiangfeng,PEI Zhigang,CHEN Xiaoyu,et al.Risk-Sharing-Considered Oriented Optimization Approach for Day-Ahead and Intra-Day Demand Response in Virtual Power Plants[J].Electric Power Construction,2026,47(02):124-135. DOI: 10.12204/j.issn.1000-7229.2026.02.010.
Risk-Sharing-Considered Oriented Optimization Approach for Day-Ahead and Intra-Day Demand Response in Virtual Power Plants