TY - JOUR
T1 - Grid-connected photovoltaic battery systems
T2 - A comprehensive review and perspectives
AU - Zhang, Yijie
AU - Ma, Tao
AU - Yang, Hongxing
N1 - Funding Information:
The authors would like to appreciate the financial support from the Hong Kong PhD Fellowship Scheme (HKPFS) and the Research Impact Fund (No. R5007-18) of the Research Grant Council of the Hong Kong SAR Government. Appreciation also goes to the National Natural Science Foundation of China (NSFC) through Grant 51976124 and the National Key Research and Development Program of China through Grant 2019YFE0104900. The authors also thank the help of Dr. Wenbo Gu from Xinjiang University and Dr. Jia Liu from Guanghou University in China for suggestions on paper drafting.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12/15
Y1 - 2022/12/15
N2 - Due to the target of carbon neutrality and the current energy crisis in the world, green, flexible and low-cost distributed photovoltaic power generation is a promising trend. With battery energy storage to cushion the fluctuating and intermittent photovoltaic (PV) output, the photovoltaic battery (PVB) system has been getting increasing attention. This study is conducted to comprehensively review the PVB system studies with experimental and simulation studies, concerning mathematical modelling, system simulation, evaluation, capacity and operation strategy optimization. The system profitability, storage system choice and grid influence are also discussed, with the multi-objective optimization in large-scale systems with various participants expected as the future trend. In addition, several highlights of this topic are discussed in detail, including model predictive control, demand-side management, community energy storage system, peer-to-peer energy market scheme and mutual impacts on grid and system, emphasizing system flexibility, optimization complexity, large-scale simulation and the utility grid influences. Furthermore, some challenges and perspectives for future research are presented, with respect to DC distribution system revolution, large-scale vehicle to grid designs and impacts, multi-energy network operation and participation in the carbon transaction market. It is expected that this study could provide useful references and suggestions for researchers in this field of system design and power management of distributed solar PV.
AB - Due to the target of carbon neutrality and the current energy crisis in the world, green, flexible and low-cost distributed photovoltaic power generation is a promising trend. With battery energy storage to cushion the fluctuating and intermittent photovoltaic (PV) output, the photovoltaic battery (PVB) system has been getting increasing attention. This study is conducted to comprehensively review the PVB system studies with experimental and simulation studies, concerning mathematical modelling, system simulation, evaluation, capacity and operation strategy optimization. The system profitability, storage system choice and grid influence are also discussed, with the multi-objective optimization in large-scale systems with various participants expected as the future trend. In addition, several highlights of this topic are discussed in detail, including model predictive control, demand-side management, community energy storage system, peer-to-peer energy market scheme and mutual impacts on grid and system, emphasizing system flexibility, optimization complexity, large-scale simulation and the utility grid influences. Furthermore, some challenges and perspectives for future research are presented, with respect to DC distribution system revolution, large-scale vehicle to grid designs and impacts, multi-energy network operation and participation in the carbon transaction market. It is expected that this study could provide useful references and suggestions for researchers in this field of system design and power management of distributed solar PV.
KW - Demand-side management
KW - Model predictive control
KW - Photovoltaic battery system
KW - PV curtailment
KW - Strategy improvement
KW - System sizing
UR - http://www.scopus.com/inward/record.url?scp=85140778170&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2022.120182
DO - 10.1016/j.apenergy.2022.120182
M3 - Journal article
AN - SCOPUS:85140778170
SN - 0306-2619
VL - 328
JO - Applied Energy
JF - Applied Energy
M1 - 120182
ER -
