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Reactive Power Optimization Of Industrial Electric Power System And Its Risk Assessment

Posted on:2013-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y L LiFull Text:PDF
GTID:2212330371957017Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
With the improvement of power generation, transmission and distribution and the development of people's requirements on power system operation, users'influences on power system operation have been taken into consideration. How to improve the safty and reliability of total sytem from the user level is becoming another key point. As the most important constitution of the user group, large industrial enterprises have been the main reasearch objects.Considering the intimate connection between reactive power and system operation, we adjust the industrial power system operating through the measure of reactive power optimization in this paper. The improvement of industrial power system operation will have a certain beneficial influence on the total system. We use a modified NSGA_Ⅱalgorithm to decide multi objectives and speed the searching process by changing crossover and mutation probabilities timely. Meanwhile, the accuracy will be developed as the parallel disposing of different goals. Simulation results show that this method has favourable effectiveness and performance.For the concern of industrial operating fluctuation, we conduct risk assessment on the base of optimal operation. In this paper, voltage risk caused by reactive power is discussed from two aspects, reactive power compensation and reactive power reservation.The reliable degree of reactive power for industrial power system can be determined based on the risk analysis, which can be used to remind staff to pay attention to different devices at different time and adopt suitable measures. We establish a time-varying outage model to caculate outage probabilities for risk assessment, aiming to increase precision. The rationality and availability of this model have been certified by the simulation results.
Keywords/Search Tags:industrial power system, multi-objective reactive power optimization, NSGA_Ⅱ, time-varyting outage model, risk assessment
PDF Full Text Request
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