Research On Optimized Operation Of Combined Heat And Power-based Microgrid Considering Electric Vehicles

In recent years,with the increased environmental pollution and shortage of fossil energy,distributed generation using renewable energy has received extensive attention.The combination of cogeneration technology and microgrid can not only integrate the grid with distributed generation,but also can realize the step-by-step utilization of energy.Due to its inherent intermittence and uncertainty,renewable generation will bring a series of problems to the microgrid,but the popularity of electric vehicles will help to stabilize the power fluctuations of renewable generation and improve its schedulability.Then,it can improve the penetration rate of renewable energy and ensure the security and stability of the microgrid.Meanwhile,with the demand side management of the microgrid,the connection between the power generation side and the demand side can be strengthened,the operating cost of the microgrid can be reduced,and the reliability of the power supply can be improved.Firstly,the working principle and basic characteristics of each micro-source in the microgrid were given detailedly.With the consideration of the space-time distribution characteristics of the electric vehicle,the Monte Carlo method was used to simulate the initial condition of the electric vehicle entering the microgrid.And then,based on the cogeneration microgrid model with distributed generation,considering the willingness of electric vehicle users,the electric vehicle was classified according to the different charging and discharging behaviors selected by the user.The multi-objective optimization model of the electric vehicle combined heat and power microgrid was established considering TOU,and the multi-objective model was converted into a single-objective model using fuzzy mathematics.In the analysis of the example,the four different scenarios were optimized by Yalmip/Gurobi,and the optimization results under various scenarios were analyzed and compared.Finally,demand side management was added to the cogeneration microgrid system with electric vehicles,and the load was classified according to the load characteristics.The mathematical models of various loads were given in detail,and the microgrid scheduling optimization model was established with the objective of the lowest economic cost and minimum load fluctuation.The optimization results under various scenarios were analyzed and compared.The results showed that the orderly charging and orderly charging and discharging behavior of electric vehicles can not only stabilize the power generation fluctuation,but also reduce the operating cost of the microgrid.At the same time,with the demand side management of the microgrid,the load fluctuation was stabilized,and the reliability and economy of microgrid were improved.