Bi-level Optimization Of Electric Vehicle And Optical Storage Capacity In Microgrid

The consumption of fossil energy has brought about severe environmental problems.The global warming and the decline of air quality have seriously affected people’s daily life and restricted the rapid development of the economy.In recent years,the microgrid technology has developed rapidly.In the micro network,the distributed power supply and energy storage equipment supply the power to the load,so as to achieve the purpose of the distributed power on the ground.Energy storage equipment can store the redundant power generation of random and intermittently strong distributed power supply.When the power generation power of the distributed power is insufficient,the power supply is supplied to the load.The electric vehicle uses renewable energy as fuel.When a large number of electric vehicles are connected to the micro network,the regenerative energy is eliminated by the electric vehicle charging load.It can reduce the adverse effects of fossil energy consumption and reduce the impact of renewable energy access on the power grid.This paper mainly studies the two-level optimization of the charging guidance strategy of electric vehicles and the configuration of the photovoltaic energy storage capacity in the micro network system,to achieve the complete elimination of photovoltaic power generation,the least influence on the load fluctuation of the large power grid and the highest economic benefit of the microgrid system.The research content in this paper has important practical significance and practical value.This paper studies the characteristics of electric vehicle charging and user driving habits,and establishes the charging model of electric vehicles on weekdays and holidays.On the MATLAB simulation software,the charge load of electric vehicle is simulated by Monte Carlo method,and the load curve of electric vehicle in working day and holiday is simulated and simulated respectively.The analysis of the micro network load curve of the charging load of the superimposed electric vehicle can be found that the electric vehicle charging in the working day increases the fluctuation of the micro network load,which brings challenges to the stable operation of the micronet,and has a little influence on the holidays.Secondly,the development status of distributed photovoltaic power generation system is introduced.According to the power characteristics of the photovoltaic power generation system,the photovoltaic power generation system is modeled and the power curve of the typical day of a single PV cell is simulated in the MATLAB software.The mathematical model of charge and discharge behavior of energy storage system is established,and the structural model of optical storage microgrid system is determined,and the operation and scheduling strategy of optical storage microgrid system is formulated.Finally,on the basis of the above research and analysis,the peak valley electricity price time period in the electric vehicle price guidance strategy is optimized,and the electric vehicle ordered charging model under the electricity price guidance strategy is set up.The starting time of the peak valley electricity price period is set as the variable,the square error and the peak valley difference of the micro network load are set as fitness.Particle swarm optimization algorithm is used to solve the problem,and the upper level optimization results are used as the basic parameters of the lower level optimization.To optimize the configuration of micro network storage configuration,the economic model of micro network storage system is set up,with the capacity of photovoltaic and energy storage system as the variable,the maximum profit of micronet economy is the goal,and the differential evolution algorithm is used to optimize the solution.The results obtained from the lower layer are returned to the upper layer,and the cyclic iteration is carried out.At the same time,the upper and lower layer constraints are satisfied.The two-layer optimization is finished,and the optimal time time price period and the photovoltaic energy storage capacity are obtained.The results show that under the optimal peak valley electricity price guidance and storage capacity configuration,the micro network load has the least influence on the large power grid,the photovoltaic power is completely eliminated and the micronet system is optimal,which proves the reliability of the research process and the conclusion of this paper.