The Application Of Battery Energy Storage System In The Distribution Network

Since the beginning of "construction of sustainable society", the technology of active distribution network has developed rapidly. Battery storage system, one of methods to realize active distribution network, is attracting increasing attention due to its flexibility, high efficiency and environmental friendliness. Because of the advantage of high energy density, long lifetime, lithium-ion battery is now becoming an application hotspot in the field of battery storage. More studies are needed about configuration of optimum energy storage as the increasing application of energy storage system. To improve the performance of the distribution network voltage quality, this thesis focus mainly on study of optimum configuration of battery storage system in electricity network.First of all, a battery energy storage system model should be established. Including series battery simulation model and the simulation model PWM Rectifier. We select a sample of lithium iron phosphate battery testing laboratory parameters in this article. Parameters are identificated monomer lithium Thevenin equivalent circuit model by experimental data and we establish the single cell simulation model in Matlab. Further, we build a simulation model of the battery pack in series. Then we build a simulation model of PWM rectifier and complete the simulation model of battery energy storage system, which lay the foundation for applied research and discussion of Battery Energy Storage System Distribution Network.Second, this thesis have analyzed how the voltage distribution of electricity network is affected by the capacity and position of battery storage system in theory. We built a low-voltage distribution network model according to European standard.Then we carried out simulation validation on the model and summarized its influence on voltage. We point out that the advantage of battery storage can be made full use of only when the energy storage is properly configured.Finally, storage access with grid node selection is guided by the conclusion of impact of energy storage systems for distribution network voltage distribution. Then in order to reduce the voltage offset and reduce power losses,we build the capacity of the energy storage system optimized configuration. The particle swarm algorithm is selected to solve the optimal allocation model. Then we get a feasible solution of storage power curve to calculate energy storage capacity configuration. A benchmarklow voltage microgrid network is used to verify the feasibility of the energy storage capacity optimization configuration modeL...