Optimal Configuration of Hybrid Energy Storage System for Primary Frequency Regulation Based on VMD
Power-type energy storage and energy-type energy storage can be combined in a certain proportion to form a hybrid energy storage system,which can significantly enhance the power output of the energy storage system.In order to fully utilize the advantages of hybrid energy storage in participating in the primary frequency regulation of wind farms and consider economic factors,a capacity optimization configuration method based on variation mode decomposition is proposed.Firstly,a mathematical model is established with the objective of maximizing the net benefits of the hybrid energy storage system.Next,the power demand signal is decomposed into high-frequency power demand and low-frequency power demand using the variation mode decomposition method.Finally,taking a 100 MW wind farm in the Northeast as a case study,based on power demand data for a typical day,considering constraints such as energy storage charging and discharging power and state of charge,the objective model is solved using the quantum particle swarm algorithm.The results show that the optimized energy storage configuration scheme can effectively improve the economic viability of hybrid energy storage for assisting the primary frequency regulation of wind farms.
hybrid energy storage systemprimary frequency regulationquantum particle swarm optimization algorithmcapacity configuration
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