分布式光伏接入下智能配电网的集中式混合储能选址定容优化方法OA

The trend of distributed photovoltaic points with strong random characteristics being widely distributed and randomly connected to intelligent distribution networks has become significant,posing a huge challenge to the stable operation of intelligent distribution networks.Reasonably optimizing the configuration of hybrid energy storage is one of the important measures to smooth out such strong intermittent fluctuations.Therefore,this paper proposes a site selection and capacity optimization method for centralized hybrid energy storage in intelligent distribution networks under high-proportion distributed photovoltaic access.A hybrid energy storage system(HESS)consisting of batteries and supercapacitors is selected.The Variational Mode Decomposition(VMD)algorithm is used to allocate energy storage power,and the power signals of the batteries and supercapacitors are corrected through fuzzy control to maintain their State of Charge(SOC)within a specified range and improve the energy storage life.Secondly,considering the economic feasibility of hybrid energy storage and the operational stability of intelligent distribution networks,a dual-layer optimization model for hybrid energy storage location and capacity is constructed.The upper layer aims to minimize the total cost of energy storage throughout its entire lifecycle.In contrast,the lower layer aims to minimize voltage fluctuations,line losses,and netload fluctuations in the intelligent distribution network.Afterward,the improved Osprey Optimization Algorithm(OOA)and the third-generation Non dominated Sorting Genetic Algorithms Ⅲ (NSGA Ⅲ)nested algorithm were used to solve the model.Finally,the model's effectiveness was verified on the improved IEEE33 and IEEE118 nodes.Simulation results showed that through reasonable energy storage configuration,the economy was improved by 34.2％,voltage fluctuations were reduced by 3.15％,line losses were reduced by 0.13％,and netload fluctuations were reduced by 1.7％.This achieved the goal of ensuring an energy storage economy while improving the stability of intelligent distribution network operation.