电力系统保护与控制2025，Vol.53Issue(9)：93-106,14.DOI:10.19783/j.cnki.pspc.240667
考虑光伏不确定性的主动配电网自适应鲁棒优化经济调度策略
Adaptive robust optimization economic dispatch strategy for active distribution networks considering photovoltaic uncertainty
摘要
Abstract
To address the impact of photovoltaic(PV)output randomness on the economic performance of active distribution networks,an adaptive robust optimization dispatch strategy based on Gaussian mixture model(GMM)is proposed to reduce system operating costs.First,PV output is categorized into two scenarios:sufficient illumination and insufficient illumination.GMM is used to cluster historical PV output data,generating the mean and standard deviation of PV output uncertainty sets for different time periods under varying illumination conditions.Based on the PauTa criterion,accurate uncertainty sets are constructed for each lighting condition.Next,an adaptive robust optimization dispatch model is established with the objective of minimizing the total scheduling cost of the distribution network.The model fully considers the uncertainty of PV output and uses an affine decision rule for solving,enhancing its adaptability to PV fluctuations.Finally,simulations are conducted on an improved IEEE 33-node distribution network system.The results show that the proposed model ensures system security while effectively reducing operating costs compared to traditional interval and polyhedral sets,with lower conservatism in the optimization results.关键词
主动配电网/自适应鲁棒优化/高斯混合模型/不确定性Key words
active distribution network/adaptive robustness/Gaussian mixture model/uncertainty引用本文复制引用
卢芳,王振宇,刘宏达,谢彪,宋紫薇..考虑光伏不确定性的主动配电网自适应鲁棒优化经济调度策略[J].电力系统保护与控制,2025,53(9):93-106,14.基金项目
国家重点研发项目资助(政府间国际科技创新合作)(2019YFE0105400) （政府间国际科技创新合作）
黑龙江省自然科学基金项目资助(LH2022E039) （LH2022E039）
山东省自然科学基金项目资助(ZR202103030510)This work is supported by the National Key Research and Development Program of China(No.2019YFE0105400). （ZR202103030510）
