Capacity Optimization Configuration of Grid-Connected Wind-Solar-Hydrogen-Storage Microgrid

doi:10.3969/j.issn.1008-0198.2023.04.007

Abstract

Abstract: A single type of energy storage device is difficult to take into account the advantages of multiple types of energy storage devices, while the hybrid energy storage system can integrate the technical and economic advantages of different types of energy storage. Aiming at the optimal configuration of hybrid energy storage based on battery and hydrogen energy storage in grid-connected mode, economic and environmental protection are taken as the objective function, the analytic hierarchy process is used to solve the multi-objective weight problem, and the particle swarm optimization algorithm is used to solve the optimal configuration of microgrid capacity. Different energy storage configuration schemes are analyzed and compared by economy and evaluation index. The results show that the cost of hybrid energy storage is 2.46% and 10.02% lower than that of single battery and hydrogen energy storage. The self-balancing rate is 7.65% and 23.89% higher than that of single battery and hydrogen energy storage, and the redundancy is 19% and 38.16% lower than that of single battery and hydrogen energy storage.

Key words: hybrid energy storage, capacity optimization configuration, new energy power generation, multi-objective optimization

CLC Number:

TM715

ZHAO Na, ZHANG Lian, WANG Shibin, LI Duo, HUANG Wei. Capacity Optimization Configuration of Grid-Connected Wind-Solar-Hydrogen-Storage Microgrid[J]. Hunan Electric Power, 2023, 43(4): 48-55.

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