2018
DOI: 10.12783/dtcse/mso2018/20483
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Quantum-behaved Particle Swarm Optimization for Economic/Emission Dispatch Problem of Power System

Abstract: Abstract. This paper proposes a quantum-behaved particle swarm optimization with multiplier updating (QPSO-MU) for solving economic /emission dispatch problems (EEDP) of power system. The quantum-behaved particle swarm optimization (QPSO) has the ability to efficiently search and actively explore solutions. Multiplier updating (MU) is introduced to avoid deforming the augmented Lagrange function and resulting in difficulty to solution searching. The ε-constraint technique is employed to handle the EEDP. The pr… Show more

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