著者

久保川 淳司 佐々木 博司 大久保 嘉人 餘利野 直人 横山 隆一 田辺 隆也

出版者

一般社団法人 電気学会

雑誌

電気学会論文誌. B (ISSN:03854213)

巻号頁・発行日

vol.113, no.2, pp.138-144, 1993

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In modern industrialized societies, it is mandatory to supply uninterruptedly high quality electric energy with modest cost while preserving better environments. This can only be realized through very sophisticated power system operations that compromise several contradictory factors stemming from economy, security and environment. Since these factors are in trade-off relationships to each other, they should be treated as such. A class of problems that simultaneously satisfy several criteria in trade-off relationships are called &ldquo;multi-objective optimization problems&rdquo;. Optimal power flow (OPF) has been regarded as the most powerful means to obtain such system operation plans, it only optimizes a single objective function.<br>This paper proposes an efficient solution methodology for a class of multi-objective optimal power flow problems which makes use of a heuristic search method. An optimal solution can be found in the proposed heuristic search method based on local information on a preference index which is arbitrarily chosen out of a given set of objectives. This circumvents the exhaustive evaluation of all non-inferior solutions which is needed in the existing multi-objective OPF algorithm proposed by the authors, thus dramatically reducing the solution time. The proposed method has been coded and applied to the IEEE 57 node test system. Simulation results have demonstrated the possibility of utilizing this method in on-line environments.