An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology
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...
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Format: | Artikel |
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MDPI AG
2025-02-01
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Schriftenreihe: | Energies |
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Online Zugang: | https://www.mdpi.com/1996-1073/18/4/909 |
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author | Mingxuan Mao Yuhao Tang Jiahan Chen Fuping Ma Ziran Li Hongyu Ma Haojin Sun Chengqi Yin Huanxin Li |
author_facet | Mingxuan Mao Yuhao Tang Jiahan Chen Fuping Ma Ziran Li Hongyu Ma Haojin Sun Chengqi Yin Huanxin Li |
author_sort | Mingxuan Mao |
collection | DOAJ |
description | 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. |
first_indexed | 2025-03-14T15:08:53Z |
format | Article |
id | doaj.art-861435e769434224a782ce0959c8ad37 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2025-03-14T15:08:53Z |
publishDate | 2025-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-861435e769434224a782ce0959c8ad372025-02-25T13:27:13ZengMDPI AGEnergies1996-10732025-02-0118490910.3390/en18040909An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage TechnologyMingxuan Mao0Yuhao Tang1Jiahan Chen2Fuping Ma3Ziran Li4Hongyu Ma5Haojin Sun6Chengqi Yin7Huanxin Li8School of Automation, Wuxi University, Wuxi 214105, ChinaSchool of Automation, Wuxi University, Wuxi 214105, ChinaDepartment of Computing, The Hong Kong Polytechnic University, Hong Kong, ChinaChengdu Power Supply Company, State Grid Sichuan Electric Power Company, Chengdu 610041, ChinaSchool of Automation, Wuxi University, Wuxi 214105, ChinaSchool of Automation, Wuxi University, Wuxi 214105, ChinaSchool of Automation, Wuxi University, Wuxi 214105, ChinaSchool of Automation, Wuxi University, Wuxi 214105, ChinaPhysical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford OX1 3QZ, UKCountries 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.https://www.mdpi.com/1996-1073/18/4/909solar photovoltaic (PV) powerrandomness and volatilityenergy storage technologypower smoothing controlpower quality |
spellingShingle | Mingxuan Mao Yuhao Tang Jiahan Chen Fuping Ma Ziran Li Hongyu Ma Haojin Sun Chengqi Yin Huanxin Li An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology Energies solar photovoltaic (PV) power randomness and volatility energy storage technology power smoothing control power quality |
title | An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology |
title_full | An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology |
title_fullStr | An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology |
title_full_unstemmed | An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology |
title_short | An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology |
title_sort | overview of solar photovoltaic power smoothing control strategies based on energy storage technology |
topic | solar photovoltaic (PV) power randomness and volatility energy storage technology power smoothing control power quality |
url | https://www.mdpi.com/1996-1073/18/4/909 |
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