A Probabilistic Optimization Technique for Network Reconfiguration in Distribution System with PVs and Phasor Measurement Units

DOI Web Site 9 References
  • Saito Tomoki
    Graduate School of Engineering Science, Yokohama National University
  • Tsuji Takao
    Graduate School of Engineering Science, Yokohama National University
  • Shoji Tomoaki
    Tokyo Electric Power Company Holdings, Inc.
  • Akagi Satoru
    Tokyo Electric Power Company Power Grid, Inc.
  • Kuwashita Yukiyasu
    Optical Fiber & Access Planning Department, Optical Fiber & Acces Sector, Technology & Engineering Division, OPTAGE Inc.
  • Iida Yoshikazu
    Distribution Smart Grid Group, Distribution Dept. Kansai Transmission and Distribution, Inc.
  • Muramoto Daisuke
    Distribution Smart Grid Group, Distribution Dept. Kansai Transmission and Distribution, Inc.

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Other Title
  • 太陽光発電の一斉解列リスクを考慮したPMUによる配電系統構成の確率的最適化手法

Abstract

<p>The voltage regulation and power loss reduction are important issues in distribution systems with more integration of variable renewable energy sources such as photovoltaic (PV). It is effective to flexibly change the network configuration by using switchgears in order to mitigate voltage fluctuation by decreasing the distribution power loss. Here, it should be needed to avoid overloading on distribution lines even with uncertain power flow changes caused by fluctuations of PV output and loads. Hence, this study developed a probabilistic optimization method for network reconfiguration, supposing the monitoring data measured by sensors with Phasor Measurement Units (PMUs) are available. The proposed method consists of quasi Monte Carlo simulation and Tabu search for probabilistic state estimation and network reconfiguration, respectively.</p>

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