A Multi-Objective Optimization Dispatch for Power Systems using Solution Judgement Strategy in Dragonfly Algorithm

カテゴリ: 部門大会

論文No: 34

グループ名: 【B】令和2年電気学会電力・エネルギー部門大会

発行日: 2020/08/28

タイトル(英語): A Multi-Objective Optimization Dispatch for Power Systems using Solution Judgement Strategy in Dragonfly Algorithm

著者名: Soraphon Kigsirisin（熊本大学），宮内肇（熊本大学）

著者名(英語): Soraphon Kigsirisin (Kumamoto University), Hajime Miyauchi (Kumamoto University)

キーワード: トンボアルゴリズム|解判定戦略|多目的最適化|最適潮流計算|最適化|dragonfly algorithm|solution judgement strategy|multi-objective optimization|optimal power flow|optimization

要約(英語): This study proposes Solution Judgement Strategy in Dragonfly Algorithm (DA-SJS). In the simulation of Dragonfly Algorithm (DA), updated positions of dragonflies depend on many random parameters. Due to this matter, some dragonflies are in a worse region where a better food source is not located. They provide inaccurate solutions for problems. To overcome this issue, DA-SJS is to mix all dragonflies in latest and current iterations, evaluated and then rank their own solutions. Only the good solutions of dragonflies within the determined number of dragonflies are nominated for the next simulation, and other dragonflies are eliminated. In this study, using the IEEE 30 bus test system, the total cost of power generation and the bus voltage deviation are combined as the multi-objective optimization. As a result, DA-SJS is efficient in solving the multi-objective optimization comparing to other optimization algorithms.

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