中国电机工程学报2024，Vol.44Issue(5)：1750-1763,中插7,15.DOI:10.13334/j.0258-8013.pcsee.221968
基于区间概率不确定集的微电网两阶段自适应鲁棒优化调度
Two-stage Adaptive Robust Optimal Scheduling Based on the Interval Probability Uncertainty Set for Microgrids
摘要
Abstract
The randomness of photovoltaic output and the fluctuation of load consumption have a significant impact on the optimal scheduling of microgrids.To this end,a strategic framework of integrated prediction-regulation-decision-making is proposed.Based on Gaussian process regression(GPR),an adaptive robust optimal scheduling model based on the interval probabilistic uncertain sets is established by combining the confidence interval generated adaptively from the historical data of typical days of photovoltaic output and load power consumption with the construction of uncertain sets in robust optimization.First,the fixed term of the uncertain set in the adaptive robust optimal scheduling model is generated by GPR.Then,the fluctuation term in the set is determined by adjusting the risk level considered by the decision-making link,thereby determining the boundary of the uncertain set under different scheduling conservatism.Next,the quality evaluation index of the prediction interval is used to assess the quality of each interval corresponding to each uncertain set.Finally,the test results on the modified IEEE 37-bus microgrid system verifies that the proposed model can effectively resist the fluctuation of photovoltaic output and load power consumption while maintaining low operating costs.关键词
微电网/风险水平/置信区间/不确定集/鲁棒优化Key words
microgrid/risk level/confidence interval/uncertain set/robust optimization分类
信息技术与安全科学引用本文复制引用
王灿,张雪菲,凌凯,席磊,陈然,王傲奇,褚四虎,田福银,李欣然..基于区间概率不确定集的微电网两阶段自适应鲁棒优化调度[J].中国电机工程学报,2024,44(5):1750-1763,中插7,15.基金项目
国家自然科学基金项目(52107108) （52107108）
湖北省自然科学基金项目(2021CFB163). Project Supported by National Natural Science Foundation of China(52107108) （2021CFB163）
Project Supported by Natural Science Foundation of Hubei Province(2021CFB163). （2021CFB163）
