Multi area multi objective dynamic economic dispatch with renewable energy and emissions

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dc.contributor.author Musau, Peter M.
dc.contributor.author Odero, Nicodemus A.
dc.contributor.author Wekesa, Cyrus W.
dc.date.accessioned 2023-01-18T12:33:26Z
dc.date.available 2023-01-18T12:33:26Z
dc.date.issued 2016
dc.identifier.citation 2016 IEEE International Energy Conference (ENERGYCON) en_US
dc.identifier.isbn 978-1-4673-8463-6
dc.identifier.uri https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7513946
dc.identifier.uri http://repository.seku.ac.ke/handle/123456789/7182
dc.description DOI: 10.1109/ENERGYCON.2016.7513946 en_US
dc.description.abstract In this paper, multi area multi objective dynamic economic dispatch (MAMODED) with optimal real power dispatch in dynamic areas is considered. More accurate cubic cost function models thermal and emissions functions. The five-objective MAMODED includes thermal, renewable, tie line losses and emissions plus all the possible constraints. Uncertainties and variability of renewable energy (RE) sources are modelled using scenario based method (SBM). Modified Firefly Algorithm with Levy Flights and Derived Mutation (MFA-LF-DM) which is applied to validate the formulation resulted in better power exchange as compared to optimality condition decomposition (OCD) in terms of cost and emission reduction. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Modified Firefly Algorithm with Levy Flights and Derived Mutation (MFA-LF-DM) en_US
dc.subject Renewable Energy (RE) en_US
dc.subject Multi Area Multi Objective Dynamic Economic Dispatch (MAMODED) en_US
dc.title Multi area multi objective dynamic economic dispatch with renewable energy and emissions en_US
dc.type Article en_US


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