Publication:
Self-adaptive differential evolution algorithm for economic dispatch with transmission losses consideration

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dc.contributor.authorSum-Im T.
dc.date.accessioned2021-04-05T03:36:01Z
dc.date.available2021-04-05T03:36:01Z
dc.date.issued2010
dc.date.issuedBE2553
dc.description.abstractIn this paper, a self-adaptive differential evolution algorithm (SaDEA) is proposed for solving conventional economic dispatch (ED) problem with transmission losses consideration. The purpose of ED problem is to minimize the total fuel cost of thermal power plants associated with the technical operation and economical constraints. The software development has been performed within the mathematical programming environment of MATLAB in this work. The efficiency of the proposed methodology is initially demonstrated via the analysis of IEEE 30-bus test case. A detailed comparative study among Lambda iteration, conventional genetic algorithm (CGA), tabu search/simulated annealing (TS/SA), ant colony search algorithm (ACSA) and the proposed method is presented. From the experimental results, the proposed method has achieved solutions with good accuracy, stable convergence characteristics, simple implementation and satisfactory computational time. ©2010 IEEE.
dc.format.mimetypeapplication/pdf
dc.identifier.citationIEEE Region 10 Annual International Conference, Proceedings/TENCON. Vol , No. (2010), p.90-95
dc.identifier.doi10.1109/TENCON.2010.5685839
dc.identifier.other2-s2.0-79951615901
dc.identifier.urihttps://hdl.handle.net/20.500.14740/7463
dc.rights.holderมหาวิทยาลัยศรีนครินทรวิโรฒ
dc.subject.otherAnt colony search algorithms
dc.subject.otherComparative studies
dc.subject.otherComputational time
dc.subject.otherDifferential evolution algorithm
dc.subject.otherEconomic Dispatch
dc.subject.otherEconomic dispatch problems
dc.subject.otherFuel cost
dc.subject.otherPower system optimization
dc.subject.otherSelf-adaptive differential evolution algorithms
dc.subject.otherSoftware development
dc.subject.otherStable convergence
dc.subject.otherTechnical operations
dc.subject.otherTest case
dc.subject.otherThermal power plants
dc.subject.otherTransmission loss
dc.subject.otherAdaptive algorithms
dc.subject.otherArtificial intelligence
dc.subject.otherBiology
dc.subject.otherHeuristic algorithms
dc.subject.otherMathematical programming
dc.subject.otherSoftware design
dc.subject.otherTabu search
dc.subject.otherThermoelectric power plants
dc.subject.otherWave transmission
dc.subject.otherEvolutionary algorithms
dc.titleSelf-adaptive differential evolution algorithm for economic dispatch with transmission losses consideration
dc.typeConference Paper
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79951615901&doi=10.1109%2fTENCON.2010.5685839&partnerID=40&md5=ea131bf89661ae7df25eca0493b1dbb8

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