Application prospect analysis of electrochemical energy storage technology in county-wide rooftop photovoltaic system

被引：0
|
作者：
Li J. [1 ]
Fang Z. [1 ]
Tan Y. [1 ]
Qi Z. [2 ]
Chen M. [2 ]
Ma S. [1 ]
机构：
[1] Energy Storage Technology Engineering Research Center, North China University of Technology, Beijing
[2] China Three Gorges Technology Co., Ltd., Beijing
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 04期
关键词：
Coordinated control technology; Electrochemical energy storage; Energy storage convergence technology; Evaluation model; Load characteristics; Roof distributed photovoltaic; Scenario generation;
D O I：
10.19912/j.0254-0096.tynxb.2022-0084
中图分类号：
学科分类号：
摘要：
Rooftop distributed photovoltaic (PV) has been widely used as a power source for "self-generation" and "surplus online", and with the strong support of national policies, PV power generation technology and energy storage technology are gradually becoming a major industry. First, this paper starts from the support policy and pilot application of rooftop distributed PV, and then proposes the core technologies of energy storage in the development of rooftop PV for the whole county system according to the analysis of the current problems of rooftop distributed PV development: scenario generation and evaluation of rooftop PV and energy storage, coordinated power generation control of rooftop distributed light and storage system, economic efficiency, convergence technology, and rooftop distributed PV security technology. Finally, the outlook on future rooftop distributed PV and energy storage technologies is carried out which provides suggestions for the development of rooftop PV and energy storage industries in China. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
收藏
页码：1 / 12
页数：11
相关论文
共 61 条
  • [41] WEI D H, YU S Y, FANG J L., Pilot protection scheme for distribution network containing photovoltaic power based on integrated sequence current, Acta energiae solaris sinica, 42, 7, pp. 185-192, (2021)
  • [42] LYNCH M a, CURTIS J., The effects of wind generation capacity on electricity prices and generation costs: A Monte Carlo analysis, Applied economics, 48, 2, pp. 133-151, (2016)
  • [43] MA X Y, SUN Y Z, FANG H L., Scenario generation of wind power based on statistical uncertainty and variability, IEEE transactions on sustainable energy, 4, 4, pp. 894-904, (2013)
  • [44] WANG B B, XIE M C, ZHANG D H, Et al., Sharing pattern of distributed optical storage system based on dynamic rate considering income equity, Power system technology, 45, 6, pp. 2228-2237, (2021)
  • [45] LIU K Y, SHENG W X, MA X C, Et al., Research on distributed photovoltaic access distribution network planning based on multi-population genetic algorithm, Acta energiae solaris sinica, 42, 6, pp. 146-155, (2021)
  • [46] PENG C H, YU Y, SUN H J., Planning of combined PV-ESS system for distribution network based on source-network-load collaborative optimization, Power system technology, 43, 11, pp. 3944-3951, (2019)
  • [47] DING M, FANG H, BI R, Et al., Distribution and capacity planning of distributed photovoltaic and energy storage sites based on cluster partitioning, Proceedings of the CSEE, 39, 8, pp. 88-98, (2019)
  • [48] TANG W Z, LIANG W J, CUI R, Et al., Optimal allocation method of distributed energy storage system in distribution network, Electric power construction, 36, 4, pp. 38-45, (2015)
  • [49] CUI M Y, WANG C T, WANG Y C, Et al., Optimal configuration of multi-energy storage system in standalone microgrid, Automation of electric power systems, 42, 4, pp. 30-38, (2018)
  • [50] ZHANG W L, QIU M, LAI X K., Application of energy storage technology in power system, Power system technology, 7, pp. 5-13, (2008)
1234567