Reactive Power Flow Analysis And Optimization In Zhuo Zhou

With the full implementation of Zhuozhou City revitalization strategy, the electricity load Zhuozhou areas has been a rapid growth in recent years, Zhuozhou regional power grid security and economy, especially power quality improvement more and more widely the whole society concern for the regional power grid Zhuozhou main purpose of reactive power optimization is to improve the power quality Zhuozhou regional power grid, to ensure grid Zhuozhou regional stability, economic operation, to better serve the economic development of the Zhuozhou service area. This requires Zhuozhou areas without power optimization of in-depth analysis of the power grid. Proved: Optimization of reactive power grid Zhuozhou area is a theoretical significance and value of both the subject.Optimization in Zhuozhou area of reactive power scheme selection, this paper analyzes the Particle Swarm algorithm principles, algorithms operating procedures, and other aspects of the main features of the case, and in order to minimize active power loss as the objective function, by Matlab2009 software platform Genetic algorithms are written in standard IEEE-6 node system and particle swarm optimization algorithm for reactive procedures, reactive power optimization. The results show that the particle swarm algorithm in computing speed, convergence aspect effects, like the smallest net loss better than genetic algorithm to calculate the result is global optimal solution, suitable for Zhuozhou region reactive 35 kV grid optimal regulation, the paper is determined by particle swarm optimization As in Zhuozhou area 35 kV Reactive Power Optimization of artificial intelligence algorithms.In this paper, for the realization of the regional power grid Zhuozhou improve the voltage quality and reduce active power losses, reactive power optimization reasonable target, Zhuozhou area power grid reactive power optimization of simulation applications, in Matlab2009 software platform, using particle swarm algorithm written Zhuozhou area 35 kV Reactive Power Optimization simulation program, the results show that the particle swarm optimization algorithm in the application of reactive power grid in Zhuozhou region, its effect to improve significantly compared to the previous optimization, global search space has fast convergence and optimization capability, reactive power net loss and low, to achieve the desired purpose of Zhuozhou area 35 kV power grid reactive power optimization, and achieved ideal effect engineering applications.