Abstract
In pursuit of the “Dual Carbon Goals” and to mitigate the adverse effects of “power supply restrictions,” a microgrid scheme integrating wind and solar power with hydrogen energy storage is proposed. This paper introduces the principles of system capacity configuration and establishes a mathematical model. This research offers a novel method for configuring wind and solar hydrogen storage systems called quantum-enhanced multi-objective collaboration. This work intends to address the complicated issues of achieving effective energy storage, reducing prices, and maximising renewable energy utilisation by leveraging the capabilities of quantum computing. A multi-objective capacity optimization configuration model for wind–solar–hydrogen energy storage is developed using Homer Pro software and an enhanced BAS-GA algorithm. Under off-grid operating conditions, the wind–solar–hydrogen energy storage system’s capacity optimization configuration model is validated through practical examples. The results indicate that, in comparison to wind storage, solar storage, wind–solar storage, and wind–solar–diesel storage systems, the net present value and levelized cost of electricity of the wind–solar–hydrogen energy storage system decrease to 14.25 million RMB and 1.529 RMB/(kW h), respectively. The renewable energy utilization rate increases to 98.7%, and the load shedding rate decreases to 5.50%.
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TY, DL: Study conception and design, data collection, FY, JC: Analysis and interpretation of results, JS: Manuscript preparation.
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Yuan, T., Liu, D., Yun, F. et al. Quantum-enhanced multi-objective collaboration for wind and solar hydrogen storage optimization. Opt Quant Electron 56, 295 (2024). https://doi.org/10.1007/s11082-023-05883-6
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DOI: https://doi.org/10.1007/s11082-023-05883-6