Operation cost reduction in unit commitment problem using improved quantum binary PSO algorithm

Ali Nasser Hussain, Ali Abduladheem Ismail

Abstract


Unit Commitment (UC) is a nonlinear mixed integer-programming problem. UC is used to minimize the operational cost of the generation units in a power system by scheduling some of generators in ON state and the other generators in OFF state according to the total power outputs of generation units, load demand and the constraints of power system. This paper proposes an Improved Quantum Binary Particle Swarm Optimization (IQBPSO) algorithm. The tests have been made on a 10-units simulation system and the results show the improvement in an operation cost reduction after using the proposed algorithm compared with the ordinary Quantum Binary Particle Swarm Optimization (QBPSO) algorithm.

Keywords


Hybrid algorithm; Improved QBPSO algorithm; Particle Swarm Optimization; Quantum computing; Unit commitment;

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DOI: http://doi.org/10.11591/ijece.v10i2.pp1149-1155

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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578

This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).