Journal
ELECTRIC POWER SYSTEMS RESEARCH
Volume 81, Issue 1, Pages 209-218Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2010.08.009
Keywords
Multi-objective particle swarm optimization; Economic dispatch; Cogeneration; Wind power estimation; Environmental dispatch
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In this paper an extended stochastic multi-objective model for economic dispatch (ED) is proposed, that incorporates in the optimization process heat and power from CHP units and expected wind power. Stochastic restrictions for the CO2, SO2 and NO emissions are used as inequality constraints. The ED problem is solved using a multi-objective particle swarm optimization technique. The available wind power is estimated from a transformation of the wind speed considered as a random variable to wind power. Simulations are performed on the modified IEEE 30 bus network with 2 cogeneration units and actual wind data. Results concerning minimum cost and emissions reduction options are finally drawn. (c) 2010 Elsevier B.V. All rights reserved.
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