Just In Timeモデリングとコレントロピーを用いた外れ値を考慮した配電系統状態推定へのディペンダブルな並列複数集団型Modified Brain Storm Optimizationの適用

DOI Web Site Web Site 被引用文献2件 参考文献4件
  • 東 大智
    明治大学大学院 先端数理研究科 ネットワークデザイン専攻
  • 福山 良和
    明治大学大学院 先端数理研究科 ネットワークデザイン専攻
  • 大井 章弘
    富士電機（株）技術開発本部
  • 神通川 亨
    富士電機（株）技術開発本部
  • 藤本 久
    富士電機（株）技術開発本部

書誌事項

タイトル別名
  • Dependable Parallel Multi-population Modified Brain Storm Optimization for Distribution State Estimation considering Outliers using Just-In-Time Modeling and Correntropy
  • Just In Time モデリング ト コレントロピー オ モチイタ ハズレ チ オ コウリョ シタ ハイデン ケイトウ ジョウタイ スイテイ エ ノ ディペンダブル ナ ヘイレツ フクスウ シュウダンガタ Modified Brain Storm Optimization ノ テキヨウ

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抄録

<p>This paper proposes dependable parallel multi-population modified brain storm optimization for load adjustment distribution state estimation (DSE) considering outliers using just in time (JIT) modeling and correntropy. If the outliers are measured at the measurement points, estimation results at the measurement points only using correntropy are affected by the outliers. The challenge is solved by JIT modeling in the proposed method. Evolutionary computation techniques have been applied to the DSE problem because practical equipment causes a nonlinear characteristic of the objective function in distribution systems. However, it is required to obtain high and stable estimation quality in a short time considering uncertain outputs of renewable energies. The challenge is solved by multi-population, and parallel and distributed computing. Moreover, it is also required to keep appropriate estimation quality using dependable calculation even if some of the calculation results of distributed processes cannot be obtained due to various faults of the processes. The proposed method is verified to estimate distribution system conditions more accurately regardless of the outliers, realize faster computation, obtain higher and stabler estimation results, and keep higher quality of solutions even with high fault probabilities than the conventional methods.</p>

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