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  • 标题:Voltage Stability Margin Assessment Using Neural Network
  • 本地全文:下载
  • 作者:Dr.K.Gnanambal ; K.R.Jeyavelmani
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2014
  • 期号:ICIET
  • 页码:310
  • 出版社:S&S Publications
  • 摘要:As power systems become morecomplex and heavily loaded, voltage stability becomesan increasing serious problem. Voltage instabilityproblem increases day by day because of the increasein demand. It is necessary to analyze the power systemwith respect to voltage stability. At present, solarenergy is increasingly penetrating into electrical grids.It is necessary to analyze the system stability with theinclusion of PV panel. Several methods are found inthe literature for the modeling of PV panel. In thiswork, I am going to adapt a suitable model of thephotovoltaic cell. The model should be able to relatethe inputs such as irradiance and temperature with theoutput voltage and power that can be generated by thePV panel. The PV model will be included at any one ofthe existing buses and the system stability will beanalyzed using PSAT software. In many literatures, thevoltage stability of the grid with PV panel is analyzedbut they consider the PV panel as a constant powersource. But it is not practically so, hence in this paper Iam going to adapt a suitable PV model and hence thestability limit i.e. the maximum load ability limit of thesystem is obtained for various irradiance andtemperature levels. The voltage stability will also beanalyzed under various contingencies.
  • 关键词:Neural Network (NN); Photovoltaic;Panel (PV panel); Maximum Load ability Limit;Voltage Stability
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