摘要
对主动配电网动态网络重构策略进行研究,首先考虑分布式光伏和系统柔性负荷的波动性,根据其概率模型建立基于时段划分的多目标动态重构模型,采用层次分析法降低多目标决策的复杂度;然后对不同时段进行合并,并引入多智能体思想对蚁群算法进行改进,构建动态协同优化重构算法,规避算法搜索的盲目性,提高算法的灵活性和可靠性,进而实现配电网的动态重构。
The dynamic network reconfiguration strategy of active distribution network is studied.Firstly,considering the volatility of distributed photovoltaic and system flexible load,a multi-objective dynamic reconfiguration model based on period division is established according to its probability model.The complexity of multi-objective decision-making is reduced by AHP.Then,the different time periods are merged,and the ant colony algorithm is improved by introducing the idea of multi-agent.The dynamic collaborative optimization reconfiguration algorithm is constructed to avoid the blindness of algorithm search and improve the flexibility and reliability of the algorithm,so as to realize the dynamic reconfiguration of distribution network.
作者
杨子跃
YANG Ziyue(Nanjing University of Science and Technology,Nanjing 210000,China)
出处
《电工技术》
2021年第9期31-33,37,共4页
Electric Engineering
关键词
主动配电网
动态网络重构
时段划分
多智能体
蚁群算法
active distribution network
dynamic network reconfiguration
time division
multi-agent
ant colony algorithm
