The Research On Reactive Power Optimization In Power System Including Wind Power Generators

With the progress of society, energy structure is constantly adjusting, one of the performance is the proportion of wind power has been accounted for an upward trend in power system. Due to the randomness and volatility characteristics of wind power the wind turbine output power will change, and thus the stability of the power system will have a greater impact. The reactive power optimization of power system enables optimal reactive power flow distribution, it can not only reduce active power loss, but also improve the system voltage quality, thus ensuring safe, reliable and economic operation, so the research on wind power reactive Power optimization is important. With nonlinear, discrete and other characteristics, the problem of reactive power optimization has to be improved.First with the analysis of methods of power flow calculation, the power flow calculation method on power system including wind generator is studied. Second, based on the groups bacterial chemotaxis optimization algorithm (BCC) and particle swarm optimization (PSO), the Mixed bacterial chemotaxis particle swarm (MPSOBCC) is proposed, first PSO algorithm is used to search in the whole area, and then the BCC algorithm is used to search outstanding particle random in local area, while the trust region and mutation mechanism is introduced to BCC algorithm to further improve search efficiency. Individual advantage retention strategy is used in the process of search. The proposed algorithm is applied to reactive power optimization on IEEE30-bus system with compare to the BCC algorithm and PSO algorithm,the results show that the algorithm improve the convergence speed and prevent the local convergence to some extent, enhance the effect of optimization greatly, thus this results indicates that the proposed algorithm has a good applicability on reactive power optimization on power system, and it is feasible.Finally, based on the good applicability on reactive power optimization on IEEE30-bus system, the proposed MPSOBCC algorithm is applied to reactive power optimization of power system,that use it on America PG&E69-bus system with connecting a wind generator. Consider the characteristics of randomness of wind, the relationship between wind turbine output mechanical power and wind speed is studied, then double objective function of reactive power optimization is established. Power loss and static voltage stability margin are taken into considered in it. Based on the scenario analysis, the proposed method is used to analyze the problems of single objective on single scene and double objective on whole scene on America PG&E69-bus system which connecting a asynchronous wind generator.