Hybrid Energy Storage Capacity Configuration based on Empirical Mode Decomposition for Industrial Park

With the popularity of distributed clean energy such as wind and solar in industrial parks, the fluctuating, intermittent and stochastic characteristics of distributed energy bring challenges to energy management. A hybrid energy storage optimal configuration strategy for industrial parks is proposed to address the output fluctuation problem of distributed energy sources. First, empirical mode decomposition is used to allocate the distributed generation original power into supercapacitor power task and lithium battery capacity task. Next, based on the allocation results, a hybrid energy storage optimal configuration model considering the maximum fluctuation quantity constraint with the objective of minimizing the annual comprehensive cost is established. Finally, the proposed configuration strategy is validated and analyzed with an actual industrial park as a case study, and the results show that the proposed capacity configuration scheme can effectively stabilize the fluctuation of distributed power output.