Mid Term Unit Commitment Using Modified Particle Swarm Optimization

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  • Hasan Siahkali1,
  1. Electrical Engineering Department, South Tehran Branch, Islamic Azad University, Tehran, Iran.

Revised: 2017-11-13

Accepted: 2017-11-13

Published in Issue 2017-03-01

How to Cite

Siahkali, H. (2017). Mid Term Unit Commitment Using Modified Particle Swarm Optimization. Signal Processing and Renewable Energy (SPRE), 1(1), 11-22. https://oiccpress.com/spre/article/view/7739

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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).
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