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Reliability Assessment Of Jieyang Power Systems Connecting With Several Wind Farms

Posted on:2016-04-13Degree:MasterType:Thesis
Country:ChinaCandidate:J L LinFull Text:PDF
GTID:2272330503952994Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the implement of energy conservation and emission reduction, the capacity of the wind power increase significantly. More and more wind plants connected to the power grid. The impact of wind plants on the power grid cannot be ignored. Jieyang city has abundant wind power resources. During recent years, with the increase of the investment, the structure of the grid has been improved quickly. The ability of the renewable energy absorption has been enhanced obviously. It is important for planning and operation to study influence on the power grid after several wind plants connected to the grid.In this thesis, assessment models of power system reliability have been studied with considerations of the characteristics of Jieyang Grid. Monte Carlo simulation method is applied to evaluate the reliability of power system with several wind plants. In order to do the study, the characteristics of output of the wind plants, the laod forecasting of wind power and the assessment model of reliability are mainly considered in the thesis.Firstly, the distribution model of wind farms in Jieyang area was calculated by establishing the Weibull probability distribution model of wind speed distribution. Secondly, the Jieyang wind power forecasting model was built by using the Artificial Neural Network(ANN), the annual outputs of wind plants are predicted easily. Thirdly, on the base the forecasting results of the load of wind plants, the assessment of reliability of wind power system with multiple wind farms are presented. Different reliability assessment models are given respectively according to the different characteristics of generation and distribution systems. In the generation system, the available generation capacity model was built on the outage capacity model and the probabilistic load model, and the LOLE and EENS are selected as the reliability index. And in the distribution system, the failure effects analysis method(FMEA) are used to establish the available generation capacity model, and nine indexes like SAIFI was selected as the reliability index. Finally, by Monte-Carlo simulation method, the reliability of Jieyang power systems with\without wind plants are evaluated. With the comparison of the two results, the impact of wind plants on power system are shown clearly.The study results show that the wind plants can improve the reliability of Jieyang power grid. At the same time, the results will also provide a reference for the planning and operation of Jieyang power grid connected with several wind plants.
Keywords/Search Tags:Power system reliability, Wind plants, Monte-Carlo simulation, probability distribution model, Artificial neural network
PDF Full Text Request
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