The Study Of Wind Power Prediction And Reactive Power Optimization Method Of Wind Farm In Jinzhou

With the rapid development of the global economy,the shortage of traditional energy and the growing demand have become increasingly contradictory,making the development and utilization of new energy an important topic in the world.Wind power as a new energy gradually attracted more and more attention because it's clean,efficient and non-polluting,which is developing rapidly around the world,and the share of wind power in global power generation and the installed capacity both are increasing.But the rapid development of wind power technology has brought series of problems,such as the intermittent and uncontrollable characteristics of wind resources,large amount of wind power integrated into power system will impact the transmission direction of the original grid,network voltage,frequency,system stability,harmonic pollution,line loss,protector,etc.For this purpose,it is great practical significance to predict the wind power more accurately and adopt effective method of reactive power optimization.In this paper,first of all,on the basis of the further study of wind power prediction system at home and abroad,the wind power prediction system is developed based on the requirement analysis,the system is safe and reliable which has friendly user interface,the maneuverability is strong.The actual operation results of wind farm in the area show that the expected target can be achieved better,it is not affected by the power failure overhaul of wind power units and the new wind power.For wind power forecasting technology,the wind power prediction method based on chaotic time series and wind power forecasting method of multistage neural network are introduced,and the characteristics of wind power are analyzed.And then,two forecasting methods are applied respectively to Jinzhou Bigxinglong mountain wind farm and Jinzhou Beizhen Yangjiadian wind farm.The final prediction results show that the two kinds of wind power prediction methods satisfy the index requirements,and the accuracy is higher.For reactive power optimization control technology,the method based on the minimum power loss optimization control is applied to Jinzhou Beizhen Yangjiadian wind farm,and the control strategy of variable flow on the side and net side of the fan is simulated according to the power control of the fan itself.Finally,the test result show that this control method effectively improve the short time tracking instruction and the voltage pass rate of the wind farm significantly,and also improve the reliability of the system.The results of two analysis show that this study is practical and effective.