Particle Swarm Optimization and Genetic Algorithm for Convex and Non-convex Economic Dispatch


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Abstract


Economic Dispatch (ED) problem plays an important role in the operation of the power system. This problem has been tackled and solved by numerous methods. In this paper, Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are used to solve both convex and non-convex economic dispatch problem considering the linear and non-linear constraints. Using these optimization techniques the simulation results for IEEE 14-bus and 30-bus system are presented and comparison is made between their performances.


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Keywords


Economic Dispatch, Genetic Algorithms, Particle Swarm Optimization, and Valve Point Effects.

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References


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