Research On Load Forecasting And Maximum Power Tracking Of Wind Solar Complementary Generation System

With the rapid development of China,s economy and the continuous improvement of people's living standards,the social pressure on energy demand is increasing,while the conventional energy reserves represented by coal and oil will shrink at a faster rate and eventually lead to depletion.In addition,we must be soberly aware that while the conventional energy system not only promotes the rapid eeonomic development,but also brings a series of serious problems,such as environmental pollution,ecosystem destruction and so on.Under the pressure of energy crisis and environmental pollution,people pay more and more attention to green energy,renewable energy has become an ideal choice.In this context,the Qing Dynasty,represented by wind power and solar energy,is represented by wind power and solar energy.Clean energy,in many countries in the world has been rapid development,favored by people.Because wind energy and solar energy are complementary,wind and solar complementary power generation system is technically possible.The main research object of this paper is the wind complementary power generation system,mainly from two aspects of load forecasting and maximum power tracking.Accurate prediction of the load of the wind and wind complementary power generation system can economically and reasonably design the generator start and stop within the system to ensiure the safety and stability of the operation of the system,at the same time,it can effectively reduce the cost of power generation and improve the economic and social benefits.According to the historical load data of scenery complementary power generation system,the traditional GM(1,1)model is used to analyze the data,and it is found that the traditional GM(1,1)model can not meet the requirements of accuracy.The transformation method with parameter linear function is proposed to improve the traditional GM(1,1)model,and the load of wind complementary power generation system in 2016/2017 is predicted..The prediction results show that the improved GM(1,1)model can be used to accurately predict the load of wind-wind complementary power generation system,so as to facilitate the study of maximum power tracking.In this paper,several common maximum power tracking algorithms are analyzed,and the advantages and disadvantages of different algorithms are summarized.On the basis of the traditional control algorithl,a new maximum power tracking method suitable for photovoltaic power generation system and a new maximum power tracking control method suitable for wind power generation are proposed.For photovoltaic power generation system,a new variable step size maximum power tracking control strategy(CPI method)is adopted on the basis of the advantages of constant voltage method,disturbance observation method and conductivity increment method.For wind power generation system,combined with variable step size maximum power algorithm,the maximum power tracking based on fuzzy PID control is used.The algorithm.and finally,combining the maximum power tracking simulation model of the photovoltaic power generation system and the maximum power tracking simulation model of the wind power generation system,and establishing a maximum power tracking simulation model of the wind-light complementary power generation system in the MATLAB,The maximum power tracking control strategy adopted has a good control effect,And make the scenery complementary power generation system stable output power.