Capacity optimization of wind-hydrogen storage hybrid microgrid based on improved cat swarm optimization

Hu, Zhenda; Jiang, Wenjin; Zhang, Linyao; Yang, Xiaodong; Zou, Yichao; Wang, Kai

doi:10.1109/acpee56931.2023.10135853

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Based on NSGA-II, the capacity of wind turbine and hydrogen production-storageburning devices are configured, respectively. Hu et al [23] comprehensively considered three indicators: economic cost, power supply reliability, and the wind abandonment rate of microgrids. The capacity optimization configuration model of the hydrogen energy storage system is constructed.…”

Section: Introductionmentioning

confidence: 99%

Capacity Optimization Configuration for a Park-Level Hybrid Energy Storage System Based on an Improved Cuckoo Algorithm

Huang,

Bei,

Wang

et al. 2024

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To promote the development of green industries in the industrial park, a microgrid system consisting of wind power, photovoltaic, and hybrid energy storage (WT-PV-HES) was constructed. It effectively promotes the local consumption of wind and solar energy while reducing the burden on the grid infrastructure. In this study, the analytic hierarchy process (AHP) was used to decompose the multi-objective function into a single-objective function. The economic and environmental benefits of the system were taken as the objective function. Furthermore, the cuckoo search algorithm (CS) was used to solve the specific capacity of each distributed power source. Different scenarios were applied to study the specific capacity of microgrid systems. The results show that the equivalent annual cost of the WT-PV-HES microgrid system is reduced by 7.3 percent and 62.23 percent, respectively. The carbon disposal cost is reduced by 1.71 and 2.38 times, respectively. The carbon treatment cost is more sensitive to load changes. The solution iteration of the cuckoo algorithm is 18 times. Meanwhile, the system requires four updates of capacity allocation results for 20 years of operation. This result validates the effectiveness of the proposed model and methodology. It also provides a reference for the research and construction of capacity allocation of microgrid systems at the park level.

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Section: Introductionmentioning

confidence: 99%