標題: | An ordinal optimization theory-based algorithm for solving the optimal power flow problem with discrete control variables |
作者: | Lin, SY Ho, YC Lin, CH 電控工程研究所 Institute of Electrical and Control Engineering |
關鍵字: | discrete control variables;nonlinear programming;optimal power flow;ordinal optimization |
公開日期: | 1-二月-2004 |
摘要: | The optimal power flow (OPF) problem with discrete control variables is an NP-hard problem in its exact formulation. To cope with the immense computational-difficulty of this problem, we propose an ordinal optimization theory-based algorithm to solve for a good enough solution with high probability. Aiming for hard optimization problems, the ordinal optimization theory, in contrast to heuristic methods, guarantee to provide a top n% solution among all with probability more than 0.95. The approach of our ordinal optimization theory-based algorithm consists of three stages. First, select heuristically a large set of candidate solutions. Then, use a simplified model to select a subset of most promising solutions. Finally, evaluate the candidate promising-solutions of the reduced subset using the exact model. We have demonstrated the computational efficiency of our algorithm and the quality of the obtained solution by comparing with the competing methods and the conventional approach through simulations. |
URI: | http://dx.doi.org/10.1109/TPWRS.2003.818732 http://hdl.handle.net/11536/27079 |
ISSN: | 0885-8950 |
DOI: | 10.1109/TPWRS.2003.818732 |
期刊: | IEEE TRANSACTIONS ON POWER SYSTEMS |
Volume: | 19 |
Issue: | 1 |
起始頁: | 276 |
結束頁: | 286 |
顯示於類別: | 期刊論文 |