Research On User-side Energy Storage Optimization Configuration And Energy Storagesharing Strategy With Distributed Power Source

in recent years,as technology advances and society develops,Distributed Generation(DG)has been gaining popularity in distribution grids to alleviate the problems of energy depletion and gradual deterioration of the ecological environment.However,due to the limitations of DG’s own power output,it is difficult to solve the random and fluctuating characteristics of DG when planning,which brings many adverse effects to the safe operation of the distribution network.Distributed energy storage system is the key link between the development of large-scale new energy and the efficient and stable operation of the power system,and is an important part of the new power system.By formulating a reasonable distributed energy storage sharing strategy,the utilization rate and economy of distributed energy storage resources can be improved.This paper will focus on the impact of distributed energy storage devices on the distribution network,the optimal allocation of distributed energy storage devices and their sharing strategy.Firstly,in order to analyze the impact of distributed energy storage on the voltage and network loss of the active distribution network,a Latin hypercube sampling method is used to generate a wind power PV output scenario,and then the scenario is reduced using the K-means clustering method,and the reduced scenario is used to analyze the impact brought by the energy storage system on the distribution network.Afterwards,a mathematical model of the distributed energy storage system is established.Finally,a simple distribution grid line model is used as an example to theoretically analyze the impact caused by the access of the distributed energy storage system on the distribution grid from the perspectives of voltage quality and active losses,and the simulation analysis of IEEE33 nodes is used to lay the theoretical research foundation for the subsequent optimal configuration of the distributed energy storage system.Secondly,a method for optimizing the locaction and capacity of distributed energy storage access to the active distribution network is proposed.The method determines the access order of different nodes by calculating their grid loss sensitivity,and ranks the nodes according to their grid loss sensitivity from highest to lowest,so as to gradually determine the access order of distributed energy storage systems in the distribution network.The grid loss and node voltage offset are then minimized as the objective,and the particle swarm algorithm is used to optimize this objective and determine the allocated capacity of the distributed energy storage.The analysis shows that this method can effectively reduce the network loss and improve the node voltage offset of the distribution network.Finally,based on the common phenomenon of high investment costs and low utilization of energy storage,a distributed energy storage capacity trading model is developed that includes different communities and different users within the same community.A cost sharing model between communities and within communities is developed for the cost sharing sub-problem.The alternate direction multiplier mlgorithm(ADMM)algorithm is used to solve the energy storage capacity trading model and the cost sharing model.The method solves the problems of dimensional disaster and privacy protection for many user groups,while balancing the benefits for all parties.The analysis of the algorithm shows that the energy storage sharing strategy proposed in this paper has significant economic benefits in integrating idle energy storage resources and sharing energy storage investment costs,solving the problems of low energy storage resource utilization and low economic returns.