Energy management strategy of hybrid energy storage based on Pareto optimality

Huaqing Wang, Zhuoshi Xie, Lei Pu, Zhongrui Ren, Yaoyu Zhang and Zhongfu Tan

Applied Energy, 2022, vol. 327, issue C, No S0306261922013526

Abstract: With the effectiveness of carbon emission reduction and the trend of clean energy utilization, installed photovoltaic (PV) capacity is increasing rapidly. The multi-energy coupling system (MECS), including hybrid energy storage, can effectively reduce the volatility of PV output and reduce its reliance on the grid. An MECS model is constructed, with objectives of carbon emission reduction, economics, and reliability. The NSGA-Ⅱ algorithm is used and the Pareto frontier of optimal solutions is obtained. The calculation example proved the validity of the model. The energy storage ecosystem composed of battery (BAT), hydrogen storage (HYS), and heat storage (HS), can effectively reduce the BAT capacity configuration. The integrated heat system can increase the energy efficiency by approximately 29%. The system revenue of the reliability optimal scheme (ROS) is 3,305 thousand yuan less than the multi-criteria optimal scheme (MOS); however, its reliability is better than that of MOS, as illustrated by the standard deviation reduction of grid interaction by 4.78%.The energy management strategy has been proven to be feasible because the system can find better reliability and economy from PV, energy storage planning, arbitrage between purchase and sale price differences, and electricity-hydrogen-heat conversion processes.

Keywords: Multi-energy coupling system; Hybrid energy storage; Energy management strategy; NSGA-Ⅱ (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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DOI: 10.1016/j.apenergy.2022.120095

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