摘要
针对分布式电源以微电网形式大量接入配电网所引起的系统运行不确定性增加、保护装置动作频繁、网络拓扑结构复杂多变等问题,提出一种考虑未知网络拓扑的主动配电网可靠性评估方法。首先,构建含微电网的配电系统可靠性评估模型,并考虑主动配电网可靠性与网络拓扑之间的关系,对未知拓扑结构配电网的可靠性指标建模。其次,基于序贯蒙特卡罗模拟法,提出一种配电网可靠性评估方法,将其应用于不同可靠性指标的计算。最后,以某地区有微电网接入的主动配电网为内容进行计算,结果显示可靠性指标与实际结果相差不大。这表明所提方法能够有效评估未知网络拓扑主动配电网可靠性,可以根据预先确定的可靠性指标指导微电网系统参数的选取。
Aiming at the problems caused by the large⁃scale integration of distributed power sources into the distribution network in the form of microgrids,such as the increase of system operation uncertainty,the frequent action of protection devices,and the complex and changeable network topology,a reliability assessment method for active distribution network considering the unknown network topology is proposed.Firstly,a reliability assessment model for distribution system containing microgrids is constructed,and the reliability index of distribution network with unknown topology is modeled by considering the relationship between active distribution network reliability and network topology.Next,a reliability assessment method for distribution network based on the sequential Monte Carlo simulation methodis is proposed,which is applied to the calculation of different reliability indices.Finally,an active distribution grid with microgrid access in a certain region is used as the content for calculation,and the reliability indicators are not signicantly different from the actual indicators,which indicates that the proposed method can effectively assess the reliability of active distribution networks with unknown topology,and the selection of microgrid system parameters can be guided according to the pre⁃determined reliability indices.
作者
亓云瑞
张晔
李元芳
高业豪
黄心月
QI Yunrui;ZHANG Ye;LI Yuanfang;GAO Yehao;HUANG Xinyue(College of Electrical and Automation Engineering,Shandong University of Science and Technology,Qingdao 266590,China;State Grid Jinan Power Supply Company,Jinan 250012,China)
出处
《湖南电力》
2024年第6期17-23,共7页
Hunan Electric Power
基金
山东省自然科学基金(ZR2021QE117)。
关键词
主动配电网
蒙特卡罗模拟
可靠性指标
微电网
未知拓扑结构
active distribution network
Monte Carlo simulation
reliability indicator
microgrids
unknown network topology
