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基于差分和声搜索算法的短期电力系统优化调度(英文).docx

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基于差分和声搜索算法的短期电力系统优化调度(英文) Title:Short-termPowerSystemOptimizationandSchedulingBasedonDifferentialandAcousticSearchingAlgorithm Abstract: Inrecentyears,withtheglobalincreaseinenergydemand,thepowersystemhasbecomemorecomplexanddynamic.Theefficientandoptimaloperationofthepowersystemiscrucial,asitdirectlyaffectsthestabilityandreliabilityofthesystem.Thispaperproposesanoveloptimizationandschedulingtechniquefortheshort-termoperationofthepowersystem.Theproposedtechniqueinvolvestheuseoftwoalgorithms-differentialsearchingandacousticsearching,fortheoptimalscheduleofgenerationunits.Thesealgorithmsusetheconceptofevolutionaryoptimizationtofindtheoptimalsolutionforthesystem.Differentialsearchingalgorithmisusedforaninitialroundofoptimizationtodeterminethesetofcandidatesfortheoptimalsolution.Acousticsearchingalgorithmisthenusedtofine-tuneandrefinetheinitialsolutionfoundbythedifferentialsearchingalgorithm. TheproposedtechniquehasbeenimplementedandtestedontheIEEE30bussystem.Thesimulationresultsshowthattheproposedtechniquesignificantlyreducesthetotalsystemcostwhilemaintainingsystemstabilityandmeetingdemandrequirements.Comparedtootherexistingoptimizationtechniques,theproposedtechniqueprovidesbetterresultsintermsofpowergenerationscheduling,ramprateofgenerationunits,andsystemefficiency. Thispaperalsoprovidesabriefoverviewofthepowersystemoperationandintroducesvariousoptimizationtechniquesusedinpowersystemscheduling.Theimportanceofshort-termschedulingandtheneedforefficientoptimizationtechniquesaredescribed.Thepaperthenfocusesontheproposedtechniqueandexplainshowdifferentialandacousticsearchingalgorithmsworktogethertofindtheoptimalsolutionforthepowersystemoperation.Thesimulationresultsandanalysisoftheproposedtechniquearepresentedindetail,showingitseffectivenessandsuperiorityoverothertechniques. Inconclusion,theproposedtechniquebasedondifferentialandacousticsearchingalgorithmsprovidesanefficientandeffectivesolutionfortheoptimalschedulingofgenerationunitsintheshort-termoperationofthepowersystem.