预览加载中，请您耐心等待几秒...

基于BPSO算法电力系统故障可观的PMU配置.docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

基于BPSO算法电力系统故障可观的PMU配置 Title:ParticleSwarmOptimization-basedPMUPlacementforEnhancedFaultObservabilityinPowerSystems Abstract: Powersystemmonitoringplaysacriticalroleinensuringitssafeandreliableoperation.PhasorMeasurementUnits(PMUs)areadvanceddevicesthatprovidesynchronizedhigh-resolutionmeasurementsofelectricalquantitiesacrossthepowergrid.TheefficientplacementofPMUscansignificantlyenhancefaultobservability,therebyenablingquickfaultdetectionandisolation.Inthispaper,anovelapproachbasedonBinaryParticleSwarmOptimization(BPSO)algorithmisproposedforPMUplacementinelectricpowersystems.TheobjectiveistomaximizefaultobservabilitywhileminimizingthenumberofPMUsinstalled. 1.Introduction(about200words) Electricpowersystemsserveasthebackboneofmodernsociety,andtheirstableandreliableoperationisofparamountimportance.Onemajorchallengeinpowersystemmonitoringistoaccuratelydetectandidentifyfaultsinreal-time.PMUshaveemergedasakeytechnologyforreal-timemonitoringandcontrolofpowersystems.ThestrategicplacementofPMUscansignificantlyimprovethesystem'sabilitytoobserveandanalyzefaultconditions.ThispaperexplorestheuseoftheBPSOalgorithmtooptimizethePMUplacementinpowersystems,aimingtoenhancefaultobservabilitywhileminimizingthecostandcomplexityofthemonitoringsystem. 2.LiteratureReview(about400words) ThissectionprovidesanoverviewoftheexistingmethodologiesandtechniquesforPMUplacementoptimization.VariousoptimizationalgorithmssuchasGeneticAlgorithm(GA),AntColonyOptimization(ACO),andBPSOhavebeenemployedforPMUplacement.Theadvantagesandlimitationsofeachalgorithmarediscussed.ItisobservedthattheBPSOalgorithmhasgainedsignificantattentionduetoitsabilitytofindnear-optimalsolutionsquickly. 3.Methodology(about400words) Inthissection,theproposedmethodologyforPMUplacementoptimizationusingtheBPSOalgorithmispresented.Firstly,thepowersystemisconvertedintoaconnectivitygraph,whereeachnoderepresentsapotentialPMUlocation.Thegraph'sedgesrepresenttheconnectivitybetweendifferentlocations.Secondly,thefitnessfunctionisdefined,con