Mid Term Unit Commitment Using Modified Particle Swarm Optimization

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Article Type:
Research/Original Article (بدون رتبه معتبر)
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).

Language:
English
Published:
Signal Processing and Renewable Energy, Volume:1 Issue: 1, Winter 2017
Pages:
11 to 22
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