Research On Optimizing Configuration Of Microgrid Based On Power To Gas Technology

With the intensification of environmental issues on a global scale and the shortage of traditional energy,people’s research on renewable and clean energy has further deepened.The use of hydrogen fuel cell vehicles and electric vehicles,as well as the construction of hydrogen refueling and charging stations,have brought new challenges to traditional microgrids.The capacity configuration and economic scheduling of microgrids have become new research topics.Demand response changes the single way to meet the load growth through the regulation of the power generation side through the adjustment of the load side,so that the optimal configuration of distributed generation and energy storage devices in the microgrid system has better economy and stability.First,the research status of microgrid,P2 G technology,new energy automobiles and demand response at home and abroad is introduced.Based on the analysis of the principles of distributed power supply,energy storage devices and electrolytic water and hydrogen production equipment,their respective mathematical models are given.Based on the characteristics of electric vehicle and hydrogen fuel cell vehicle,a new energy vehicle load model is established by Monte Carlo sampling simulation.Secondly,for the capacity allocation of various types of equipment,the costbenefit analysis method is used to optimize the goal of maximizing the benefit of the whole life cycle,and the construction investment cost of the equipment is converted to the equivalent annual construction investment cost,to analyze the economy of the microgrid and to seek the optimal configuration scheme.Based on the optimal capacity configuration,the optimal scheduling scheme of the microgrid is sought with the lowest daily operating cost as the objective.Finally,for the capacity allocation and economic dispatch of micro-grids containing all kinds of energy storage devices and new energy automobiles,a two-level optimization model of micro-grids system is established,and the optimal configuration and dispatch scheme are solved by the improved intelligent algorithm.The numerical results show that the improved whale algorithm and particle swarm optimization have more advantages than before.After the implementation of demand response,not only can the power load of the system be met,but also can reduce the user’s electricity costs,further improve the economy of the microgrid.