基于改进IEEE 33总线测试系统的主动配电系统状态估计

J. Watitwa, K. Awodele
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引用次数: 2

摘要

在过去的二十年里,分布式发电机组一直在配电系统中使用,以缓解温室气体排放和气候变化。因此,最初设计为无源网络的配电系统正在演变为主动网络,迫使配电系统运营商实施所需的配电管理系统控制应用程序。配电系统状态估计(DSSE)是配电管理系统的一个重要组成部分。然而,尽管输电系统状态估计自20世纪60年代末问世以来就很普遍,但其方法并不能直接转移到DSSE,因为输电系统在运行、设计和拓扑结构上与配电网不同。本文开发并测试了考虑分布式发电集成的主动配电系统状态估计加权最小二乘算法的性能。采用粒子群优化方法对ieee33上分布式发电机组的最优布局进行了评价。最后,将状态估计结果与MATLAB仿真得到的实时潮流结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active Distribution System State Estimation on Modified IEEE 33 bus test system
Distributed Generation units have been continuously deployed over the past twenty years in distribution power systems as mitigation against greenhouse gas emissions and climate change. Therefore distribution systems, which were designed initially as passive networks with little monitoring, are evolving into active networks, forcing Distribution System Operators to implement the required Distribution Management Systems control applications. Distribution System State Estimation (DSSE) is a crucial component in Distribution Management Systems. However, despite Transmission System State Estimation being common since its inception in the late 1960s, its methods are not directly transferable to DSSE since transmission systems differ from distribution networks in their operation, design, and topology. This paper develops and tests the performance of Active Distribution System State Estimation Weighted Least Square (WLS) algorithm, which considers the integration of Distributed Generation. The optimum Distributed Generation units placement on the IEEE 33 is evaluated using the Particle Swarm Optimization method. Finally, the state estimation results are compared with real-time load flow results obtained from MATLAB Simulation.
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