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Large-Capacity SVG Research On Variable Load

Posted on:2012-07-30Degree:MasterType:Thesis
Country:ChinaCandidate:Y L ChenFull Text:PDF
GTID:2212330368489268Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
In the industrial and domestic electricity consumption, the inductive loads account for a large proportion. To compensate reactive power can not only improve the power quality and can produce enormous economic benefits. SVG, as a new type of reactive power compensation device, has become a hot research field in the reactive power compensation, with its rate of compensation, the compensation performance and small size advantages. This paper mainly focus on active reactive power compensation devices faced by some practical problems in actual production. The measured data of railway transformer substation were calculated and analyzed.First of all, this paper briefly analyzed basic structure and compen sation principles of SVG. In order to solve the smaller capacity issue of active compensation device, this paper uses the mixed form of compen sation and a new capacity configuration. The measured data of the r ailway substation is used to illustrate how to configure the SVG slip cap acity and the FC slip capacity and to calculate the inductance parameter s of the coupling device. The new idea of capacity configuration Offers the possibility for large-scale application of active compensation device s.In the research field of the control system of SVG, the main job is focused on two algorithms, a control algorithm for generating command voltage and an algorithm for obtaining comparison values which is used to generate SVPWM wave. The merits of control algorithms is directly related to the compensation effect of the DSP control system.The advanced control algorithm of command voltage is determined, based on the instantaneous reactive power theory.The algorithm Improves the operating speed of DSP and is conducive to achieve instantaneous reactive power compensation. Finally, the relevant flow charts which is based on the Control algorithms are obtained. Then in online Simulation mode of the CCS2.0 software, we write Algorithmic program.
Keywords/Search Tags:SVG, DSP, Capacity allocation, Algorithm, Programming
PDF Full Text Request
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