A Study of Multi-objective Transient Stability Constrained Optimal Power Flow based on Reduced-Space Interior Point Method -Consideration of Multiple Contingencies Models

作     者：Kurokawa, Daiki Kubokawa, Junji Yorino, Naoto Zoka, Yoshifumi Sasaki, Yutaka 黒川 大輝;久保川 淳司;餘利野 直人;造賀 芳文;佐々木 豊

作者机构：Graduate School of Advanced Science and Engineering Hiroshima University 1-4-1 Kagamiyama Higashi Hiroshima739-8527 Japan Hiroshima Institute of Technology 2-1-1 Miyake Saeki-ku Hiroshima731-5143 Japan  Kure College 2-2-11 Aga Minami Kure737-8506 Japan 

出 版 物：《IEEJ Transactions on Power and Energy》 (IEEJ Trans. Power Energy)

年 卷 期：2024年第144卷第5期

页      面：330-336页

核心收录：

主　　题：Multiobjective optimization 

摘      要：It is hoped that the power system will be operated safely and economically. Optimal Power Flow (OPF) is being studied in order to find a more economical operational point while ensuring safety. In our laboratory, we have been studying TSCOPF (Transient Stability Constrained Optimal Power Flow) after the assumed contingency by adding the magnitude of the phase angle with respect to the center of inertia to the constraint condition. Currently, the combination of the interior point method and the numerical discretization method is widely used to solve TSCOPF. Since the TSCOPF with numerical discretization is a large nonlinear programming problem, and there is a problem that the calculation time becomes long. In our previous research, we have reduced the computation time for a single contingency TSCOPF using the Reduced Space Technique. In this study, we propose the multi-objective TSCOPF with multiple contingencies using Reduced Space Technique to reduce the computational burden. The proposed method has been implemented and applied to the IEEJ WEST 30 test system to demonstrate the effectiveness of the proposed method. © 2024 The Institute of Electrical Engineers of Japan.