Research On Distributed Predictive Load Frequency Control Of Micro-Grid With Electrical Vehicles

In recent years,with the rapid development of global economy,environmental pollution and energy shortage have become more and more serious.Saving resources and protecting the environment has become one of the important themes.Electric Vehicle(EV)with a series of advantages such as high efficiency,no pollution and low noise is considered as one of the best choices for energy saving and emission reduction.Research shows that electric vehicles will replace traditional cars as one of the main ways for people to travel in the near future.Large-scale electric vehicles connected to the power grid are both opportunities and challenges for the safe and stable operation of the power grid.The development of Vehicle to Grid(V2G)technology provides a new idea for maintaining the frequency stability of power system,that is,the ’Soure-Load’ double characteristics of EV are utilized to quickly eliminate the frequency fluctuation of micro-grid caused by load disturbance,so as to improve the quality of power supply.Therefore,this paper makes an in-depth Study on load frequency control of micro-grid including electric vehicles.Firstly,this paper analyzes the frequency modulation characteristics of diesel generator and electric vehicles,and establishes a load frequency control model of micro-grid including electric vehicles based on its dynamic characteristics on MATLAB/simulink.Then,traditional PID control algorithm and model predictive control algorithm are respectively used to study the feasibility of providing frequency modulation services.The simulation results show that EV can adjust system frequency stability quickly by using its ’Source-Load’ double characteristics,and the model predictive control is more applicable to solving the problem.Secondly,to solve the problem that more and more nearby micro-grid forms multi-area interconnected micro-grid by tie-lines,the load frequency control model of three-area interconnected micro-grid with electric vehicles is studied in this paper.At the same time,in order to prove the wide applicability of auxiliary frequency modulation for electric vehicles connected to micro-grid by V2G technology,and we also connect the wind power generation unit to the micro-grid model.Finally,the distributed model predictive control algorithm is adopted in this paper to solve this problem due to the complexity of the three-area interconnected micro-grid system model with electric vehicles and the certain geographical distribution of each area.The simulation results show that when the system is subjected to a step load fluctuation,the proposed distributed model predictive control strategy can reasonably allocate the output of each system,and quickly eliminate the frequency fluctuation.Moreover,it also extends the life of the generators while providing high-quality power to customers.