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Study On The Capacitor Switching Of Distribution System Considering Distributed Generation

Posted on:2009-11-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y K MaFull Text:PDF
GTID:2132360272485915Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Because of the importance of the energy and environment, DG has achieved prodigious progress recently. And it is deemed to be the future development of modern power system. But normally distributed generators are installed near the customer side, so it will have a great of impacts on power system especially on distribution system. On the foundation of studying the reactive power of a distribution system which has one or more distributed generators installed in it, the paper mainly solve the problem of capacitor switching. And the main tasks are as follows:After the brief introduction to the DG, the paper pointed out the the impact on distribution system due to the connection of distributed generators, including power losses, power flow, voltage and supplying reliability . Then the paper put emphasis on the potential relation between the reactive power and DG..A improved simulated algorithm (SA) about capacitor optimal switching in the distribution system distributed generators connected with is proposed. The algorithm makes use of Newton method in power flow calculation. DGs which are familiar with are classified into PQ type, PV type, PI type and P-Q(V) type. The GA based on memory proposed in this paper not only considers the number of times about capacitor switching, but also considers influence of distributed generators on reactive power and voltage of distribution system. The paper offers a effective analytical tool to capacitor optimal switching in distribution system which connected DGs, and also can be improved later in order to analyze the problem of optimal reactive power in distribution system which connected DGs.The result of the cases proves to be efficient of the method.
Keywords/Search Tags:Distribution System, Capacitor Switching, Distributed Generation, Simulated Annealing
PDF Full Text Request
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