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

---

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.

著者

久保川 淳司 大久保 嘉人 佐々木 博司 横山 隆一

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.118, no.3, pp.239-245, 1998

---

As the necessity of high quality electric power supply is increasing, it has been required to make up sophisticated power system operations in which several requirements stemming from economy, security and environmental aspects should simultaneously be satisfied. In general, a problem of satisfying several noncommensurable criteria is called a multi-objec-tive optimization problem. Although the most powerful means to obtain desirable system operations is optimal power flow (OPF), a straightforward application of the conventional OPF optimize only one objective and the remaining objectives must be treated as constraints. However, since such objectives are in trade-off relationships each other, it is necessary to develop an efficient multi-objective OPF.<br> In this paper, we shall propose a solution method of multi-objective OPF by means of fuzzy coordination. In the first step, the degree of satisfaction of Decision Maker on each objective would be maximized with a pre-specified member-ship function. The membership function would be updated in accordance with the DM's preference information and target value of the objective function. The degree of satisfaction will be improved step by step by updating the membership functions. Finally, the saticificing solution for the Decision Maker would be obtained. The proposed method has been applied to the IEEE 57 and 118 test system, producing successful results.