Research On Optimal Configuration Method Of Energy Storage System Adapting To New Energy Consumption

In recent years,the installed capacity of new energy power generation equipment has grown rapidly.The original equipment in the system cannot quickly adapt to the fluctuations caused by the large-scale interconnection of new energy,so the new energy output has to be abandoned in order to ensure the stable operation of the grid.The energy storage system can make a rapid response according to the scheduling instructions,and the most important thing is to present different positive/negative output states according to the needs of the power grid,so as to realize the role of peak load shaving.The purpose of adapting to the consumption of new energy by connecting the energy storage system in the power grid is not only to consider the consumption effect of new energy,but also to meet the actual needs such as the stable operation of the power grid.Based on the research project of energy storage demand and key technology of configuration of Meng Dong power grid,this paper considers various factors to optimize the configuration mode of energy storage system.The main research contents are as follows:(1)The significance of the energy storage system on the side of the power grid in alleviating the peak pressure of the power grid and promoting the consumption of new energy is expounded,and the application status of the energy storage system is introduced.(2)Through sorting out the actual data of Mengdong Power Grid,the predicted values of wind power and photovoltaic output are calculated,which need to consider the relationship between wind speed and wind power output characteristics,and the relationship between light intensity and photovoltaic output characteristics.The components of the energy storage system and their charge-discharge characteristics are analyzed,and the charge-discharge calculation model of the energy storage system is established.(3)The multi-objective optimization problem is introduced.Then amulti-objective optimization model is established,which considers multiple optimization objectives such as new energy consumption,energy storage system life cycle operating costs,and node voltage deviation.The simulation model of multi-objective optimization was built on the MATLAB platform,the improved Multi-Objective Particle Swarm Optimization was adopted to obtain the optimal Pareto solution set of the optimal configuration scheme of the energy storage system.The final configuration of the energy storage system is determined by the information entropy method.Taking Tongliao power grid in eastern Mengdong as an example,this paper compares the energy storage system configuration schemes under different optimization objectives and their effects,and illustrates that different energy storage configuration schemes can meet different needs of power grid in actual operation and meet the purpose of new energy consumption.(4)A two-layer decision-making optimization model is established.The outer model increases the number of energy storage systems connected one by one on the basis of multi-objective optimization.The inner model uses quantum particle swarms with chaos mechanism to optimize the output of various units.By comparing the optimization effects under different optimization scenarios,it is shown that the energy storage system configuration scheme determined in this paper can solve the problems such as insufficient power supply and limited consumption of new energy in some areas of tongliao power grid in eastern Mongolia,and improve the stability of power grid operation.The configuration method in this paper can provide multiple choices according to the needs of decision makers.