Study On Optimal Scheduling Strategy Of Integrated Energy System Considering Electric Vehicles

In recent years,problems such as resource exhaustion and environmental pollution have highlighted and become more and more serious.To vigorously develop clean and pollution-free renewable energy is an effective way to alleviate the above problems.However,the output of wind turbines and photovoltaics is easy to be affected by season and climate,their accessing brings uncertainty to the system.With the popularity of electric vehicles,people begin to pay attention to their advantages of flexibility and schedulability.Coupling several energy systems and studying the optimal scheduling strategy of the integrated energy system considering electric vehicles is of great significance for promoting the coordination and complementarity of various energy sources and improving the energy utilization efficiency.Aiming at the fluctuation of wind and solar output and electric/heat/gas load,and considering electric vehicles participating the system scheduling,this paper studys the electricity-heat-gas integrated energy system and constructs a two-level scheduling model of the integrated energy system considering electric vehicles.Firstly,the basic structure of the electricity-heat-gas integrated energy system is introduced,and the operating cost and reserve cost of each component unit are analyzed.This model applies scenario analysis technology to establish typical scenarios to simulate the next day operating conditions of the integrated energy system,on which the internal and external scheduling is carried out.The external level is the scheduling scheme level of the system,which aims at minimum scheduling scheme cost,minimum energy fluctuation and the best environmental protection.The improved multi-objective particle swarm optimization algorithm is used to solve the Pareto non-inferior solution,and the comprehensive membership is calculated to work out the most preferred solution as the day-ahead scheduling scheme.The internal level is the EV scheduling level,which aims at maximum EV users’satisfaction.The improved particle swarm optimization algorithm is adopted to solve the charge/discharge strategy and the available reserve capacity of each EV cluster.As for the EVs in each EV cluster,the charge/discharge plan is solved using the charge/discharge strategy of EVs based on dynamic priority,guiding them participate the system scheduling orderly.Finally,a certain electricity-heat-gas integrated energy system is simulated for example.By scheduling simulation of the integrated energy system under different system operation mode,different charge/discharge mode and different scales of electric vehicles,it is shown that the model proposed in this paper can ensure the system operate economically,safely and environmentally with the EVs participating orderly and offer guidance for making optimal scheduling strategy of large-scale electric vehicles.