Research On Distributed Storage Convergence And Coordination Control Strategy

In our country,a number of demonstration projects are completed with the large-scale application of battery energy storage technology.Battery energy storage technology has made a series of research achievements in many fields(e.g,power generation,transmission,distribution and utilization,as well as the micro grid and distributed generation).Large-scale distributed energy storage system lack of effective methods of scheduling that who access to distribution network.Grid division can't unified deployment of distributed access and the output of the randomness of the distributed energy storage.The grid expect them to become orderly operation to improve the economy of the grid resources so the realization of the distributed energy storage gathering coordinated control research has high practical application value.Therefore,this paper studies the following four aspects.The first research content point is Access Mode and Application of Distributed Energy Storage System with Different Application Conditions.The second research content point is Assessment of Distributed Energy Storage Convergence Potential.The third research content point is Distributed Storage Energy Convergence Filtering Sorting Method.And the last research content point is Distributed Energy Storage Coordination Control Algorithm.The main elements are as follows:(1)This paper introduces the typical application mode and access mode of distributed energy storage on user side.The application mode and scheme of distributed energy storage under different application scenarios are described in this paper.We give the distributed energy storage effect in typical application scenarios.The analysis of the technology form and carrier of distributed energy storage will provide theoretical guidance for further research on distributed energy storage coordination control technology.(2)The load nodes with different load and energy storage capacity were selected to reduce the power limit,load side peak filling and light storage filling of PV power station.The historical load and energy storage output power data are analyzed,the time series distribution characteristics are analyzed and the energy storage application model of local power network is established in the paper.(3)In this paper,a method for assessing the convergent potential of energy storage system is established.And we defining the potential index of energy storage systems.The filter sorting theory includes time scale,capacity scale,effective time of convergence,node voltage fluctuation and so on.In this paper,an analytic hierarchy process(AHP)is used to sift and sort energy storage equipment.This method can provide theoretical support for the application of subsequent convergence.(4)Based on the convergent potential and price information of each energy storage equipment,I set up an optimal cluster control model which aims at the minimum number of converters,the least number of actions,the lowest cost of converters and the least load fluctuation.In view of the possible conflicts between the targets,using Pareto optimization theory to find the compromise solution between the different target functions,the Pareto noninferior solution set is formed,and the adaptive algorithm is used to avoid the unfeasible solution in the iterative process.Based on the above research,the validity of the conclusion is verified by simulation and experiment.The research results will provide theoretical support for the extension and application of distributed energy storage in distribution network,thus promoting the large-scale development and application of China's user side distributed energy storage system.