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Research On Optimization Of Automatic Voltage Control Algorithm For Hydroelectric Generator

Posted on:2019-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:H T LvFull Text:PDF
GTID:2382330566480700Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In order to ensure the voltage stability of each node of the power grid,the power system applies automatic voltage control strategy for each voltage node of the power grid.Hydropower stations are the prefered facilities in virture of the flexible regulation ability in pressure and phase modulation.Now the reactive power distritution process has been a key technology link in the automatic voltage control of hydropower stations that is insufficient in the process of engineering application.In this paper,evolutionary programming algorithm was improved with Preference Information.The objective function for minimization of the active network loss and maximization of the reactive power gain was solved based on the constraints of reactive power regulation and generator operation restrcitions in the hydropower station that fulfils the requirements in multi-target eactive power regulation.The main work of this article is as follows:(1)Using the method of decision maker preference information,the process of the evolutionary programming algorithm randomly generating initial solution group is improved.According to different reference points,the problem of minimizing active network loss and maximizing reactive income is targeted handled pertinently.(2)Taking the specific reactive power distribution regulation of a hydropower station as an example,an improved evolutionary planning algorithm is used to simulate the cases of the reactive power distribution of the hydropower station,and the reactive power distribution result obtained by adopting the improved evolutionary planning algorithm is compared with the engineering data and verified.Finally the advantages of the improved evolutionary programming algorithm in dealing with minimizing active network losses and maximizing the objective function of reactive gain have been verified.(3)The improved evolution planning algorithm program was imported into the closed-loop simulation platform that is established set up by the H9000 system and the simustudio software.of the Institute of Water Sciences to simulate The date of simulation cases are used to simulate he process of automatic voltage control in the hydropower station...
Keywords/Search Tags:reactive power allocation, evolutionary programming algorithm, decision maker preference, active power loss, reactive power
PDF Full Text Request
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