Finding Improved Local Minima of Power System Optimization Problems by Interior-Point Methods
Finding Improved Local Minima of Power System Optimization Problems by Interior-Point Methods
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DOI：
10.1109/mper.2002.4311905
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发表时间：
2002-12
期刊：
影响因子：
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通讯作者：
J. R. Santos;Ramos, J. L. Martinez;A. T. Lora;A. Gómez-Expósito
中科院分区：
文献类型：
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作者：
J. R. Santos;Ramos, J. L. Martinez;A. T. Lora;A. Gómez-Expósito
本文提出了一种简单的启发式技术，通过求解一系列内点子问题来处理非凸、非线性电力系统优化问题中的多个局部极小点。实值和混合整数的情况下分别讨论。然后将该方法应用于机组组合问题，并将其在实际情况下的性能与遗传算法进行比较。
This paper presents a simple heuristic technique to deal with multiple local minima in nonconvex, nonlinear, power system optimization problems by solving a sequence of interior point subproblems. Both the real-valued and the mixed-integer cases are discussed separately. The method is then applied to the unit commitment problem, and its performance on realistic cases is compared with that of a genetic algorithm.