电力系统及其自动化学报2025，Vol.37Issue(5)：52-66,15.DOI:10.19635/j.cnki.csu-epsa.001537
基于场景模糊聚类和多主体演化博弈的主动配电网协同规划
Active Distribution Network Collaborative Planning Based on Scenario Fuzzy Clustering and Multi-agent Evolutionary Game
摘要
Abstract
Aimed at the uncertainties in new energy output and the conflict of interests of multiple operation agents,which lead to the limitation of active distribution network planning results,a collaborative planning method for active distribution network based on scenario fuzzy clustering and multi-agent evolutionary game is proposed.First,a typical scenario and dual-level extreme scenario generation method based on FCM clustering is put forward to address the char-acteristics of wind and solar data,through which the typical daily scenarios and extreme scenarios for the entire year are generated.Then,an active distribution network planning model considering multiple market agents such as source,net-work,load and storage is established.On this basis,the game relationship among distributed generation operators,dis-tribution network operators,energy storage operators and power users is analyzed,and the evolutionary game method is used to solve the planning model.Finally,the proposed method is verified by simulations based on an IEEE 33-node distribution network system.Results indicate that this method not only improves the power supply stability of active dis-tribution network,but also balances the interests of multiple agents.In addition,it is more aligned with practical appli-cations.关键词
主动配电网/模糊聚类/多市场主体/演化博弈/协同规划Key words
active distribution network/fuzzy clustering/multiple market agents/evolutionary game/collaborative planning分类
动力与电气工程引用本文复制引用
黄悦华,涂金童,陈庆,张磊,张子豪,夏磊..基于场景模糊聚类和多主体演化博弈的主动配电网协同规划[J].电力系统及其自动化学报,2025,37(5):52-66,15.基金项目
国家自然科学基金资助项目(62233006) （62233006）
三峡大学科学基金资助项目(2024RCKJ022). （2024RCKJ022）
