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dc.contributor.authorSINGH, IQBAL-
dc.date.accessioned2010-11-29T09:41:06Z-
dc.date.available2010-11-29T09:41:06Z-
dc.date.issued2010-11-29-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/123456789/439-
dc.descriptionME THESISen_US
dc.description.abstractReliable power production is critical to the economic viability of electricity utilities. Economic Load Dispatch (ELD) is one of the main functions of modern Energy Management System (EMS), which determines the optimal real power settings of generating units with an objective of minimizing the total fuel cost. A MATLAB program has been developed for Evolutionary Programming and Evolutionary Computation such as Genetic Algorithm (GA) to solve economic load dispatch problem considering transmission losses & environmental pollution. In this thesis, the use of Constraint method has been applied to solve Economic Load Dispatch problems for IEEE 5, 14 & 30 Bus systems using GA tool box in MATLAB R2008b and Maximization of Minimum Relative attainments (MMR) technique is used to obtain the Target Point in 2-D and 3-D space.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD 699;118-
dc.subjectMMRen_US
dc.subjectECONOMICen_US
dc.subjectGAen_US
dc.titleMMR FOR GA BASED MULTI OBJECTIVE ECONOMIC LOAD DISPATCHen_US
Appears in Collections:M.E./M.Tech. Electrical Engineering

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