Capacity Optimal Allocation Method and Frequency Division Energy Management for Hybrid Energy Storage System Considering Grid-Connected Requirements in Photovoltaic System

Wei Li, Ruixin Jin (), Xiaoyong Ma () and Guozun Zhang
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Wei Li: School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300380, China
Ruixin Jin: School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300380, China
Xiaoyong Ma: School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
Guozun Zhang: School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300380, China

Energies, 2023, vol. 16, issue 10, 1-16

Abstract: The coordination between a hybrid energy storage system (HESS) and photovoltaic (PV) power station can significantly reduce grid-connected PV power fluctuations. This study proposes a HESS capacity optimal allocation method considering the grid-connected PV requirements. Firstly, based on the power fluctuation requirements in the PV power station grid-connected regulations, the maximum power point tracking working point switching control is performed for the PV power station, from which the grid-connected PV power and HESS power are obtained. Then, a capacity optimal allocation method and frequency division energy management strategy (EMS) for HESS is proposed to find the energy response and power response of each energy storage source. Furthermore, a multi-objective optimization function with HESS cutoff frequency as the independent variable is constructed, and the input cost of HESS and the life loss of the lithium battery are optimized. Finally, the overall strategy is compared and analyzed under the scenarios of three typical PV power fluctuations. Simulation results show that the control strategy has a good smoothing effect on PV power fluctuations. From the perspective of the annual comprehensive input cost, HESS realizes the optimal capacity allocation when the cutoff frequency is 0.0066 Hz.

Keywords: grid-connected photovoltaic power; hybrid energy storage system; frequency separation energy management; capacity allocation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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