Wind Power Prediction And Optimal Dispatch Of Microgrid Svstem

Wind, photovoltaic power generation is limited by objective conditions of natural, while its power generation and power supply quality is also affected by the users’load, so how to improve the system reliability and the power quality of this type of micro-grid hybrid power has become a research hotspot. Based on this, this paper make a thorough research on the regulating principle of wind power generation and micro-grid system, the reasonable combination of systems and the structural design, draws some meaningful conclusions. These innovative results provides a new thinking and new approaches for the micro-grid system designing.This paper outlines the development of wind power prediction theory in the domestic and overseas, taking the example of a wind farm, proposes a system model and discusses its predictive control strategy through comprehensive analysis to solve the major existed problem. The method to predict wind power based on least squares support vector machine model is given in detail, and the simulation demonstration result compared with artificial neural network is performed using MATLAB simulation platform. The simulation results shows:the method which is proposed by this paper based on least squares support vector has good predictive results and high prediction accuracy, can predict wind power trend better and provide foundation for the optimal scheduling of micro-grid system.In this paper, according to the space time complementary characteristics between photovoltaic systems and wind power generation systems, a hybrid wind/photovoltaic/fuel cell generation system is proposed. Based on users’diverse load distribution--near and far, this paper poses the different implements, and introduces basic functionality, system regulation and control method of the system in detail. Integrated with model and power predictive control algorithm, good coordination and control results is obtained. According to the MATLAB simulation, the control strategy can meet the changing load needs of micro-grid user better and switches between different operation mode easily, realize the micro-grid system optimization scheduling objectives.