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A Strategy For Substation Reactive Voltage Control Based On Active Reactive Load And System Voltage Sections

Posted on:2007-07-09Degree:MasterType:Thesis
Country:ChinaCandidate:Q ZhangFull Text:PDF
GTID:2132360212471351Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Voltage is one important index of measuring electricity quality,reducing the active power loss is one need of power system operateing economically. Reactive power distributing reseasonably can guarantee voltage quality and reduce active power loss. For substations, reactive voltage control is to guarantee volage quality and reduce active power loss of power system by adjusting the tap changer of transformer and devoting or removing some compensators of reactive power,which can make the powe system operate economically and safely.In order to reduce the times of tap changer operations of transformer,a method for reactive voltage control based on active,reactive load and system voltage sections was proposed in this paper.We forecast the load and system voltage using artificial neural network firstly,and calculate the voltage of transformer low voltage side which are converted to high voltage side with power flow calculation method.Then,divide the voltage into several sections according to the maximum allowable times of tap changer operation.In the fieldwork,modify the forecasting datas with the actual load and voltage datas of the pasted time sections and forecast them again.The combined sections method overcomed the disadvantage of method only considering active or reactive load and improved the accuracy.By the calculation of forecasting load in the next day on some different transformer substations in Tianjin and Wuhai City,this paper proved the effectiveness of the section method and reactive power optimization,It can controlled the voltage reactive of large-scale transformer substations more better.
Keywords/Search Tags:transformer substation, load forecasting, voltage reactive control, RBF neural networks
PDF Full Text Request
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