Studies On Reactive Power Optimization And Algorithm Of Distribution Network Containing Wind Power Generators

The rapid development of the economy is closely depended on the energy in the present world. With the gradually failure of global conventional energy, the energy crisis is increasingly becoming serious. The wind generator accessed distribution network as distributed power, can make full use of the wind energy resources, and alleviate the local electricity deficiency in certain degree. But for the uncertain and changeable characteristics of wind power, the structure and power flow of the distribution network containing wind generators will be changed, thus, the power loss and voltage stability of the distribution network will be influenced. Therefore, the power flow calculation of the distribution network containing wind generators, reactive compensation and voltage adjustment of the system are very necessary.This paper firstly introduces the recent development of wind power and some problems after the wind power accessed the network, and then some algorithms for the reactive power optimization of power system are introduced. Subsequently, the power flow methods of distribution network are introduced, and a matrix model of the forward-backward sweep method is presented. According to the characteristics of the distribution network, the bus-injection to branch-current matrix and the branch-current to bus-voltage matrix are obtained and they are used to describe the forward-backward sweep method to calculate the power flow of the distribution network. Also, considering the power-voltage characteristic of the asynchronous wind generator, the power flow of the distribution network containing wind power generators is implemented. Power system reactive power optimization is a highly complex multi-constraint, discrete and continuous variable mixed nonlinear problem. Fully utilizing the experience of evolutionary process, the mutation and crossover operation of differential evolution algorithm are improved in this paper, and the improved algorithm is applied to the reactive power optimization problem. The randomness and changeable characteristics of wind power is the key of reactive power optimization problem, to deal with this, a scenario analysis method is adopted in this paper, and the uncertain running state of the distribution network containing wind power generators is replaced by a series of certain scenes. Taking the all scene target expectations as the target function, the reactive power optimization problem of distribution network containing wind power generators is implemented. Simulation results show the effectiveness of the proposed model and algorithm.