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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/1247

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Title: Economic load dispatch optimization of renewable energy in power system using genetic algorithm
Authors: Warsono
King, David J.
Özveren, Cüneyt Süheyl
Bradley, David A.
Affiliation: University of Abertay Dundee. School of Computing & Engineering Systems
Keywords: Economic load dispatch (ELD)
Genetic algorithm (GA)
Renewable energy
Wind power generation
Issue Date: 2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Type: Conference Paper
Refereed: peer-reviewed
Rights: Published version (c)IEEE, available from http://dx.doi.org/10.1109/PCT.2007.4538655
Citation: Warsono, et al. 2007. Economic load dispatch optimization of renewable energy in power system using genetic algorithm. IEEE Power Tech 2007 Conference, Lausanne, Switzerland, July 1-5, 2007. pp.2174-2179. Available from http://dx.doi.org/10.1109/PCT.2007.4538655
Abstract: The inclusion of a significant amount of renewable energy into power systems has resulted in additional constraints on economic load dispatch (ELD) to accommodate the intermittent nature of the output. This condition may not match with system load demand or current trading mechanisms in a power system. A genetic algorithm (GA) method using 'negative load' and 'inclusive' approach is proposed and discussed.
URI: http://hdl.handle.net/10373/1247
ISBN: 9781424421893
9781424421909
Appears in Collections:Computing & Engineering Systems Collection

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