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284Vol.28No.4201007JournalofJiamusiUniversityNaturalScienceEditionJuly20101008-1402201004-0537-04P-Q①154002P-QMATALBP-Q.P-QTM712A0.........1.12345612.2PQP-Q.P-QΔPΔ[]Q=HN[]JLΔθΔ[]V/V1ΔP=HΔθ+NΔVVΔQ=JΔθ+LΔVV2.1NJ1ΔP=HΔθΔQ=LΔ{V/V3①2010-06-111970-.2010122nn.HL3.10°~20°cosθij≈1GijsinθijB〕{ij4BLiBLi=QiL2I<<BiiQi<<V2iBii55Hii=V2iBiiHij=ViVjBijLii=V2iBiiLij=ViVjBij63H=L=V21B11V1V2B12…V1V2B1nV2V1B21V22B22…V2VnB2nVnV1Bn1VnV2Bn2…V2nBnn7H=L=V1…00…VnB11B12…B1nB21B22…B2nBn1Bn2…BnnV1…00…Vn8838354P-QΔP1ΔP2ΔPn=V1…00…V2B11B12…B1nB21B22…B2nBn1Bn2…BnnV1Δθ1V2Δθ2VnΔθn9ΔQ1ΔQ2ΔQn=V1…00…VnB11B12…B1nB21B22…B2nBn1Bn2…BnnΔV1ΔV2ΔVn1011.072p.u.@bus91.100p.u.@bus1-4.62deg@bus94.89deg@bus2PI^2*R-1.39MW@line8-9QI^2*X-9.36MVAr@line8-2V1……Vn-1=1V1……1VnΔP1/V1ΔP2/V2ΔPn/Vn=B11B12…B1nB21B22…B2nBn1Bn2…BnnV1Δθ1V2Δθ2VnΔθn11ΔQ1/V1ΔQ2/V2ΔQn/Vn=B11B12…B1nB21B22…B2nBn1Bn2…BnnΔV1ΔV2ΔVn12P-Q.2MWMVArMWMVArMWMVAr11~489.8012.97-89.80-9.05-0.0003.9224~535.22-3.89-35.04-13.880.1810.9835~6-54.96-16.1255.97-22.191.0104.4043~694.19-22.63-94.1927.29-0.0004.6656~738.22-5.10-38.07-18.680.1491.2667~8-61.93-16.3262.210.820.2792.3678~2-134.329.33134.320.03-0.0009.3688~972.11-10.15-70.72-18.921.3947.0199~4-54.28-31.0854.5812.940.2952.51Total3.30736.463MATLABP-Q.MATLAB、LRMATLAB.MATLAB.1291PQ.2、..93520104P-QMATALBMAT-ALB..1.J.199658-12.2.J.200919127-131.3.J.20103345-348.4.J.2000457-59.FlowCalculationSimulationofPowerSystemBasedonP-QDecompositionMethodGAOChang-baoJiamusiPowerBureauJiamusi154002ChinaAbstractConventionalpowersystemisusedastheresearchobjectthebasicmodelofpowerflowcalcu-lationisestablishedthebasicprinciplesofthePQdecompositionpowerflowcalculationisanalyzedthroughMATALBprogrammingrunningthePQdecompositionoftheflowcalculationprocess.thesimulationresultsshowthattheproposedmethodinthispaperiseffective.Keywordspowersystemflowcalculation櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌櫌P-Qdecompositionmethod536TheNonlinearDisplacementCompensationofOpticalFiberSensorsBasedonBPAlgorithmFANTing-dongWANGYue-nanDUXuCollegeofInformationandElectronicTechnologyJiamusiUniversityJiamusi154007ChinaAbstractAneuralnetworkwithalinearsensorcompensationmodelwasproposedaspartofcompensa-tionfortheexistenceofnon-linearprobleminopticalfiberdisplacementsensorapplications.ThebasicideawastouseBPalgorithmtotakethesensoroutputastheneuralnetworkinputdata.Displacementsensorfortheneuralnetworkinputwasthedesiredoutputtoachievelineardisplacementmeasurementcompensationbyadjus-tingtheneuralnetworkweightstoneuralnetworkoutputandtheexpectedapproximation.Thesimulationresultsshowthatthemethodiseffectivetoimprovetheaccuracyofthesensorandeffectivetocompensatethenonlineari-ty.KeywordsBPalgorithmopticalfibersensornonlinearcompensation045
本文标题:基于P_Q分解法的电力系统潮流计算仿真研究
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