摘要
针对新能源出力不确定性与多运营主体利益冲突导致主动配电网规划结果的局限性问题,提出一种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方法。首先,针对风光数据特征提出一种基于FCM聚类的典型场景与双层极端场景生成方法,得到全年风光典型日场景与极端场景;然后,建立考虑源、网、荷、储多市场主体的主动配电网规划模型,在此基础上,分析分布式电源运营商、配电网运营商、储能运营商以及电力用户各利益主体之间的博弈关系,并提出演化博弈方法对规划模型进行求解;最后,通过IEEE 33节点配电网系统对所提方法进行仿真验证。结果表明,所提方法在提升主动配电网供电稳定性的同时兼顾了多主体利益且更加趋近于实际。
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 characteristics 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,network,load and storage is established.On this basis,the game relationship among distributed generation operators,distribution 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 distribution network,but also balances the interests of multiple agents.In addition,it is more aligned with practical applications.
作者
黄悦华
涂金童
陈庆
张磊
张子豪
夏磊
HUANG Yuehua;TU Jintong;CHEN Qing;ZHANG Lei;ZHANG Zihao;XIA Lei(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;Hubei Provincial Engineering Technology Research Center for Microgrid,Yichang 443002,China;Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station,Yichang 443002,China)
出处
《电力系统及其自动化学报》
北大核心
2025年第5期52-66,共15页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(62233006)
三峡大学科学基金资助项目(2024RCKJ022)。
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
active distribution network
fuzzy clustering
multiple market agents
evolutionary game
collaborative planning
