An Improved Quantum-Behaved Particle Swarm Optimization Method for Economic Dispatch Problems with Multiple Fuel Options and Valve-Points Effects

Qun Niu, Zhuo Zhou, Hong-Yun Zhang and Jing Deng
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Qun Niu: Shanghai Key Laboratory of Power Automation Technology, School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
Zhuo Zhou: Shanghai Key Laboratory of Power Automation Technology, School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
Hong-Yun Zhang: Shanghai Key Laboratory of Power Automation Technology, School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
Jing Deng: Intelligent Systems and Control Group, School of Electronics, Electrical Engineering and Computer Science, Queen’s University of Belfast, Belfast BT9 5AH, UK

Energies, 2012, vol. 5, issue 9, 1-19

Abstract: Quantum-behaved particle swarm optimization (QPSO) is an efficient and powerful population-based optimization technique, which is inspired by the conventional particle swarm optimization (PSO) and quantum mechanics theories. In this paper, an improved QPSO named SQPSO is proposed, which combines QPSO with a selective probability operator to solve the economic dispatch (ED) problems with valve-point effects and multiple fuel options. To show the performance of the proposed SQPSO, it is tested on five standard benchmark functions and two ED benchmark problems, including a 40-unit ED problem with valve-point effects and a 10-unit ED problem with multiple fuel options. The results are compared with differential evolution (DE), particle swarm optimization (PSO) and basic QPSO, as well as a number of other methods reported in the literature in terms of solution quality, convergence speed and robustness. The simulation results confirm that the proposed SQPSO is effective and reliable for both function optimization and ED problems.

Keywords: economic dispatch; quantum-behaved particle swarm optimization; valve-point effects; multiple fuel options (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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