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Research Article

Investigation on BBMO Algorithm with Load Dispatch Optimization

Siri Sumana Kalavala1 Sridevi Sakhamuri2 V Satya Vara Prasad3
1Department of EEE, GITAM Institute of Technology, Visakhapatnam, India. 2,3Department of EEE, GMR Institute of Technology, Rajam, India.

Published Online: May-June 2021

Pages: 07-08

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References

1. N. Sinha, “Evolutionary programming techniques for economic loaddispatch”,IEEE Trans. Evolut.Comput.7,2003,pp.83–94.
2. Selvakumar,“Anewparticleswarmoptimizationsolutiontononconvex economic dispatch problems”, IEEE Transaction PowerSystem,
2007,22,42–51.
3. Alsumait,“AhybridGA-PS-SQPmethodtosolvepowersystemvalvepointeconomicdispatchproblems”,AppliedEnergy,2010,pp.1773-1781.
4. Lixiang Li, “A hybridCPSO–SQP methodfor economic dispatchconsideringthevalve-
pointeffects”,EnergyConversionandManagement53,2012,pp.175–181.Park J.B., “A particle swarm optimization for economic
dispatch withnon-smoothcostfunctions”,IEEETransactionPowersystems,Vol.20,2005,pp.34-49.
5. LeandrodosSantosCoelho,“CombiningofChaoticDifferentialEvolutionandQuadraticProgrammingforEconomicDispatchOptimization
With Valve-Point Effect,” IEEE Transactions on PowerSystems,Vol.21,No.2,2006,pp.989-995.
6. AniruddhaBhattacharya,“HybridDifferentialEvolutionWithBiogeography Based Optimization for Solution of Economic
LoadDispatch,”IEEETransactionsonPowersystems,Vol.25,No.4,2010,pp.1955-1964.

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