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Ali Abduladheem Ismail
Middle Technical University
Computer Science & IT Electrical & Electronics Engineering

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Operation cost reduction in unit commitment problem using improved quantum binary PSO algorithm Ali Nasser Hussain; Ali Abduladheem Ismail
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.115 KB) | DOI: 10.11591/ijece.v10i2.pp1149-1155

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.
Co-Authors Ali Nasser Hussain