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Keywords: Fuzzy self adaptive hybrid particle swarm optimization (FSAHPSO) Optimal operation management (OOM) Multi-objective optimization Fuel cell power plant (FCPP) a b s t r a c t In this paper a novel Multi-objective fuzzy self adaptive hybrid particle swarm optimization (MFSAHPSO) evolutionary algorithm to solve the Multi-objective optimal operation(More)
This paper presents an efficient Multi-objective Crazy Chaotic Particle Swarm Optimization (MCCPSO) evolutionary algorithm to solve the Multi-objective Optimal Operation Management (MOOM) considering Fuel Cell Power Plants (FCPPs) in distribution network. The objective functions of the MOOM problem are to decrease the total electrical energy losses, the(More)
In the electric power systems, there is a wide range of problems involving optimization processes. Among them, Economic Dispatch (ED) is one of the most important problems in the operation and management. Recently, modern meta-heuristic algorithms have been considered as effective tools for nonlinear optimization problems with applications to power systems(More)
Reduce fossil fuel resources; increasing established new power generation unit costs; and ever growing demand for electric energy necessitate optimal economic dispatch (ED) in today's electric power systems. Modern heuristic optimization techniques have been given much attention by many researchers due to their ability to find an almost global optimal(More)
Keywords: Economic dispatch New adaptive particle swarm optimization (NAPSO) Mutation operator Multi-fuel effects Self-adaptive parameter control a b s t r a c t Economic dispatch (ED) problem is a nonlinear and non-smooth optimization problem when valve-point effects, multi-fuel effects and prohibited operating zones (POZs) have been considered. This paper(More)
Keywords: Variable DE Fuzzy adaptive particle swarm optimization Hybrid evolutionary algorithms a b s t r a c t Economic dispatch (ED) is one of the important problems in the operation and management of the electric power systems which is formulated as an optimization problem. Modern heuristics stochastic optimization techniques appear to be efficient in(More)
SUMMARY A new Multi-objective Fuzzy Adaptive Chaotic particle swarm optimization (MFACPSO) evolutionary algorithm for the Multi-objective daily Optimal Operation Management (MOOM) problem with regard to fuel cell power plants (FCPPs) in distribution system is presented in this paper. The purposes of the MOOM problem are to minimize the total electrical(More)
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