Service restoring reconfiguration for distribution networks considering uncertainty in available information

Hirotaka Takano, Junichi Murata, Kazuki Morishita, Hiroshi Asano

研究成果: ジャーナルへの寄稿学術誌査読

1 被引用数 (Scopus)


The recent growth in the penetration of photovoltaic generation systems (PVs) has brought new difficulties in the operating and planning of electric power distribution networks. This is because operators of the distribution networks normally cannot monitor or control the output of the PVs, which introduces additional uncertainty into the available information that operations must rely on. This paper focuses on the service restoration of the distribution networks, and the authors propose a problem framework and its solution method that finds the optimal restoration configuration under extensive PV installation. The service restoration problems have been formulated as combinatorial optimization problems. They do, however, require accurate information on load sections, which is impractical in distribution networks with extensively installed PVs. A combined framework of robust optimization and two-stage stochastic programming adopted in the proposed problem formulation enables us to deal with the PV-originated uncertainty using readily available information only. In addition, this problem framework can be treated by a traditional solution method with slight extensions. The validity of the authors’ proposal is verified through numerical simulations on a real-scale distribution network model and includes a discussion of their results.

ジャーナルApplied Sciences (Switzerland)
出版ステータス出版済み - 5月 1 2021

!!!All Science Journal Classification (ASJC) codes

  • 材料科学一般
  • 器械工学
  • 工学一般
  • プロセス化学およびプロセス工学
  • コンピュータ サイエンスの応用
  • 流体および伝熱


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