Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117842
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Title: An overview of solar photovoltaic power smoothing control strategies based on energy storage technology
Authors: Mao, M
Tang, Y
Chen, J 
Ma, F
Li, Z
Ma, H
Sun, H
Yin, C
Li, H
Issue Date: Feb-2025
Source: Energies, Feb. 2025, v. 18, no. 4, 909
Abstract: Countries around the world are actively promoting the low-carbon transformation of the energy system, and renewable energy represented by solar photovoltaic (PV) power generation will occupy a greater proportion of the power system. The power of PV power generation is characterized by randomness and volatility, so an energy storage system (ESS) is needed for smooth control of fluctuating power to improve the quality of electric energy and the stability of the system. First of all, through the comparative analysis of various energy storage technologies, this paper finds that the battery-supercapacitor hybrid energy storage system (HESS) has both steady-state and dynamic response capabilities. Secondly, the power smoothing control strategy comprises centralized control strategies and distributed control strategies, corresponding control algorithms based on filter and optimization, and droop control strategy, respectively. This paper introduces them in turn and analyzes their advantages and disadvantages. Finally, according to the characteristics of the two control strategies, the analysis of the applicable scenarios is given, and it can guide future applications.
Keywords: Energy storage technology
Power quality
Power smoothing control
Randomness and volatility
Solar photovoltaic (PV) power
Publisher: MDPI AG
Journal: Energies 
EISSN: 1996-1073
DOI: 10.3390/en18040909
Rights: Copyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Mao, M., Tang, Y., Chen, J., Ma, F., Li, Z., Ma, H., Sun, H., Yin, C., & Li, H. (2025). An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology. Energies, 18(4), 909 is available at https://doi.org/10.3390/en18040909.
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