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Optimal Allocation Of Reactive Compensation Equipments On The Low Voltage Side Of Distribution Transformers

Posted on:2016-09-19Degree:MasterType:Thesis
Country:ChinaCandidate:Y FengFull Text:PDF
GTID:2272330461953798Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The traditional reactive power optimization is mainly focused on high voltage side of transmission network. According to the recent studies, installing the Automatic Reactive Compensation Equipments(ARCE) on the low voltage side of distribution transformers. It can not only reduce the active power loss of the power systems effectively, but also improve the voltage stability at the same times. Considering the restricted construction fund, it is impossible to install the ARCE at each side of distribution transformers. So it is necessary to select the properly locations in a scientific way when the funds are limited.According to the engineering practice, a new mathematical model is proposed. This new mathematical model uses the forward and backward substitution method to calculate power flow, the maximum reduction of active power losses and the highest benefit-investment as the objective function. The actual installation of ARCEs numbers is taken into account in the form of punishment functions. Such three cases are detailed as without limitation of total investment, with limitation of total investment and with limitation of the investment of every stage. A Genetic Algorithm(GA) and A Sensitivity Analysis(SA) are taken to determine the one stage-static optimal planning and multi-stage dynamic optimal planning results of the ARCE on the low voltage side of distribution transformers.Above algorithms are realized through VC++. Conclusions are made from the examples. GA can get better results than SA overall. Though SA is simple and fast, it has less ability to find the properly locations, which can only apply to the preliminarily selection of candidate nodes. While GA starts from multi points, that can easily find the global optimal solutions and get the best ARCEs locations.
Keywords/Search Tags:Reactive power planning, Genetic Algorithm, Sensitivity analysis
PDF Full Text Request
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