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

DOI Web Site 5 References
  • Kurokawa Daiki
    Graduate School of Advanced Science and Engineering, Hiroshima University
  • Kubokawa Junji
    Hiroshima Institute of Technology
  • Yorino Naoto
    Graduate School of Advanced Science and Engineering, Hiroshima University National Institute of Technology (KOSEN), Kure College
  • Zoka Yoshifumi
    Graduate School of Advanced Science and Engineering, Hiroshima University
  • Sasaki Yutaka
    Graduate School of Advanced Science and Engineering, Hiroshima University

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Other Title
  • 縮小空間法に基づく多目的TSCOPFに関する研究
  • —Consideration of Multiple Contingencies Models—
  • —複数故障モデルの検討—

Abstract

<p>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.</p>

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