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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Mingxuan Mao, Yuhao Tang, Jiahan Chen, Fuping Ma, Ziran Li, Hongyu Ma, Haojin Sun, Chengqi Yin, Huanxin Li
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2025-02-01
Schriftenreihe:Energies
Schlagworte:
Online Zugang:https://www.mdpi.com/1996-1073/18/4/909
_version_ 1826582621990158336
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
work_keys_str_mv AT mingxuanmao anoverviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT yuhaotang anoverviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT jiahanchen anoverviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT fupingma anoverviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT ziranli anoverviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT hongyuma anoverviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT haojinsun anoverviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT chengqiyin anoverviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT huanxinli anoverviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT mingxuanmao overviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT yuhaotang overviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT jiahanchen overviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT fupingma overviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT ziranli overviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT hongyuma overviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT haojinsun overviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT chengqiyin overviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology
AT huanxinli overviewofsolarphotovoltaicpowersmoothingcontrolstrategiesbasedonenergystoragetechnology