Abstract
In order to reduce the cost of dynamic voltage restorer (DVR), this paper proposes a capacity optimization modeling of hybrid Superconducting Magnetic Energy Storage (SMES) and Battery Energy Storage (BES) system in DVR based on the Life Cycle Cost (LCC) theory. The mathematical model is established by considering the LCC as the objective function, the state of charge (SOC) and the output power as the constraint conditions. Besides, the particle swarm optimization (PSO) algorithm is adopted to compute the model. Finally, based on cost comparison of three kinds of energy storage system and compensation performance test of DVR with SMES-BES during voltage sag with 50% specified in the SEMI F47 Testing curve, the technical and economical rationality of the capacity optimization scheme of hybrid energy storage is demonstrated.
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