A Swarm Intelligence Approach to the Power Dispatch Problem | Zendy

Dinu Călin Secui | Zendy; Ioan Felea | Zendy; Simona Dziţac | Zendy; Laurențiu Popper | Zendy

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A Swarm Intelligence Approach to the Power Dispatch Problem

Author(s) -

Dinu Călin Secui,

Ioan Felea,

Simona Dziţac,

Laurențiu Popper

Publication year - 2010

Publication title -

international journal of computers communications and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.422

H-Index - 33

eISSN - 1841-9844

pISSN - 1841-9836

DOI - 10.15837/ijccc.2010.3.2489

Subject(s) - particle swarm optimization , economic dispatch , mathematical optimization , computer science , swarm intelligence , electric power system , nonlinear system , power (physics) , computational intelligence , optimization problem , mathematics , artificial intelligence , physics , quantum mechanics

This paper examines how two techniques of the Particle Swarm Optimization method (PSO) can be used to solve the Economic Power Dispatch (EPD) problem. The mathematical model of the EPD is a nonlinear one, PSO algorithms being considered efficient in solving this kind of models. Also, PSO has been successfully applied in many complex optimization problems in power systems. The PSO techniques presented here are applied to three case studies, which analyze power systems having four, six, respectively twenty generating units.

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