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Distribution Network Dynamic Reactive Power Optimization Study

Posted on:2004-07-01Degree:MasterType:Thesis
Country:ChinaCandidate:Q SongFull Text:PDF
GTID:2192360152493424Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Voltage is one of important quality index of electric power. Power loss is an important synthesis technical and economic index of power companies. In the past several years ,the problem of power loss is very serious. However,reactive compensation is an effective method to save power loss. Currently,improving voltage quality and saving power loss have been job emphasis of power companies. Reactive power/voltage control in region distribution network is researched in this paper. On the basis of the sum of the theories and development of reactive power optimization problem, a simple and better linear planning modeling methodology is presented first in this paper.Combining with memberhship function of constraints, the primal-dual interior point algorithm is introduced into the control of reactive power optimization control to solve the infeasible problem. And an improved branch and bound method is used to make each control variables integral.Load variation is taken into consideration in power system dynamic reactive power optimization. An algorithm for dynamic optimization of the whole medium-high voltage distribution network is presented in this paper. This algorithm simplifies the mathematical model of unknown control variables, determines the assumed switching time of control devices and then converts the dynamic optimization model into the same one as static optimization. Therefore, every method used to solve static optimization can be used to solve the dynamic model as a whole. This methodology is not only simple in modeling, but also easy in integrating into the existing static optimization module. And the ways of division of the load time period is researched carefully in this paper too.
Keywords/Search Tags:Linear Planning Model, Primal-Dual Path-Following Interior-Point Algorithm, Membership function of constraints, Improved Branch and Bound Method, Dynamic Reactive Power Optimization
PDF Full Text Request
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