Economic dispatch using particle swarm optimization: A review

Amita Mahor, Vishnu Prasad and Saroj Rangnekar

Renewable and Sustainable Energy Reviews, 2009, vol. 13, issue 8, 2134-2141

Abstract: Electrical power industry restructuring has created highly vibrant and competitive market that altered many aspects of the power industry. In this changed scenario, scarcity of energy resources, increasing power generation cost, environment concern, ever growing demand for electrical energy necessitate optimal economic dispatch. Practical economic dispatch (ED) problems have nonlinear, non-convex type objective function with intense equality and inequality constraints. The conventional optimization methods are not able to solve such problems as due to local optimum solution convergence. Meta-heuristic optimization techniques especially particle swarm optimization (PSO) has gained an incredible recognition as the solution algorithm for such type of ED problems in last decade. The application of PSO in ED problem, which is considered as one of the most complex optimization problem has been summarized in present paper.

Keywords: Economic; dispatch; Problem; formulation; Particle; swarm; optimization (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (25)

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