An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology

Mingxuan Mao (), Yuhao Tang, Jiahan Chen, Fuping Ma, Ziran Li, Hongyu Ma, Haojin Sun, Chengqi Yin and Huanxin Li
Additional contact information
Mingxuan Mao: School of Automation, Wuxi University, Wuxi 214105, China
Yuhao Tang: School of Automation, Wuxi University, Wuxi 214105, China
Jiahan Chen: Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China
Fuping Ma: Chengdu Power Supply Company, State Grid Sichuan Electric Power Company, Chengdu 610041, China
Ziran Li: School of Automation, Wuxi University, Wuxi 214105, China
Hongyu Ma: School of Automation, Wuxi University, Wuxi 214105, China
Haojin Sun: School of Automation, Wuxi University, Wuxi 214105, China
Chengqi Yin: School of Automation, Wuxi University, Wuxi 214105, China
Huanxin Li: Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford OX1 3QZ, UK

Energies, 2025, vol. 18, issue 4, 1-24

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: solar photovoltaic (PV) power; randomness and volatility; energy storage technology; power smoothing control; power quality (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: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/4/909/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/4/909/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:4:p:909-:d:1590502

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().