The Research On VAR Optimization In Distribution Networks With Wind Power Generators

Into the 21st century, energy crisis is increasingly becoming serious. Wind energy is used with its renewable, widely distributed, non-polluting characteristics. When a Wind farm is incorporated into the power grid, the power systems will change flow and have influence on the system loss and voltage stability to some extent. Therefore, if the reliability of Wind farm grid and stable operation is needed, the wind power systems flow count is necessary. Reactive power optimization including wind farm is a non-linear, multi-period, large-scale dynamic optimization problem. The traditional reactive power optimization algorithms are mainly non-linear programming algorithm, genetic algorithm, particle swarm optimization (PSO) algorithm, but the use of these algorithms are prone to the problems of slow convergence, local solution and so on. Thence this article applied the improved particle swarm (MPSO) algorithm for calculating the reactive power optimization.This paper first introduced the basic concepts of the wind power including the following aspects: the development and current state of the wind power technology,the function of the wind generator's components, the influence of distribution network operation and planning with wind power generators and the distribution system power flow calculation of wind power generators. Secondly, this paper describes the basic theory of PSO algorithm and the characteristics of MPSO algorithm. The main contents involve the history and basic theory and the improvements of initialization, mutation factor and the parameter settings about MPSO algorithm. Thirdly, the paper introduced the basic theory of comprehensive distribution system and characteristics of reactive power optimization including wind power generators. The main contents include the development of reactive power optimization with distribution system and the application of reactive power optimization algorithm. Finally, MPSO algorithm was applied to reactive power optimization with wind power generators. Containing 33 nodes in radial distribution networks carried out the simulation. The practical case certificated the accuracy of the MPSO algorithm, and the advantages compared with the traditional method.