Mid Term Unit Commitment Using Modified Particle Swarm Optimization
Publish place: Signal Processing and Renewable Energy، Vol: 1، Issue: 1
Publish Year: 1396
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_SPRE-1-1_002
تاریخ نمایه سازی: 23 تیر 1398
Abstract:
This paper presents a new approach to unit commitment (UC) problems using a particle swarm optimization (PSO) technique. The mid term UC problem has a cost function with equality and inequality constraints that make the problem of finding the global optimum difficult by using any mathematical approach. In this paper, a modified PSO (MPSO) mechanism is suggested to deal with the equality and inequality constraints in the UC problems. The proposed MPSO is applied to a 10-unit test system and the results of the MPSO are compared with the results of conventional numerical methods such as mixed integer nonlinear programming (MINLP).
Authors
Hasan Siahkali
Electrical Engineering Department, South Tehran Branch, Islamic Azad University, Tehran, Iran.