Review on Modeling Method for Operation Efficiency and Lifespan Decay of Large-scale Electrochemical Energy Storage on Power Grid Side

被引：0
|
作者：
He H. [1 ]
Zhang N. [1 ]
Du E. [1 ]
Ge Y. [2 ]
Kang C. [1 ]
机构：
[1] State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing
[2] Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Depth of discharging; Electrochemical energy storage; Lifespan decay; Operation efficiency; State of charge;
D O I：
10.7500/AEPS20190820005
中图分类号：
学科分类号：
摘要：
Electrochemical energy storage plays an important role in the power system. Recently, researches on large-scale electrochemical energy storage on power grid side participating in dispatching operation and control of power system have emerged one after another. The operation efficiency and lifespan decay characteristics of electrochemical energy storage are nonlinearly affected by the charging and discharging rate, depth of discharging and operation temperature. These effects are not comprehensively considered in the existing researches. This paper introduces the principles and characteristics of three electrochemical energy storage systems including lithium-ion batteries, supercapacitors and all-vanadium flow batteries, respectively, which focus on the classification and analysis of the modeling methods for operation efficiency and lifespan decay of these three electrochemical energy storage systems. Finally, this study proposes the key issues and potential research topics of operation efficiency and lifespan decay modeling methods for the large-scale electrochemical energy storage systems on power grid side. © 2020 Automation of Electric Power Systems Press.
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页码：193 / 207
页数：14
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共 117 条
  • [1] KANG Chongqing, YAO Liangzhong, Key scientific issues and theoretical research framework of high proportion renewable energy power system, Automation of Electric Power Systems, 41, 9, pp. 2-11, (2017)
  • [2] ZHENG Le, HU Wei, LU Qiuyu, Et al., Comprehensive optimization model of energy storage system for improving wind power access planning and operation, Proceedings of the CSEE, 34, 16, pp. 2533-2543, (2014)
  • [3] XU Shouping, LI Xiangjun, HUI Dong, Development status and demonstration application of large scale electrochemical energy storage system, Electric Power Construction, 34, 7, pp. 73-80, (2013)
  • [4] YINGJIE T, MUTTAQI K M, PAUL C P, Et al., Enhanced frequency regulation using multilevel energy storage in remote area power supply systems, IEEE Transactions on Power Systems, 34, 1, pp. 163-170, (2019)
  • [5] DONG J, GAO F, GUAN X, Et al., Storage sizing with peak-shaving policy for wind farm based on cyclic Markov chain model, IEEE Transactions on Sustainable Energy, 8, 3, pp. 978-989, (2017)
  • [6] DEL ROSSO A D, ECKROAD S W., Energy storage for relief of transmission congestion, IEEE Transactions on Smart Grid, 5, 2, pp. 1138-1146, (2014)
  • [7] VARGAS L S, BUSTOSTURU G, LARRAIN F., Wind power curtailment and energy storage in transmission congestion management considering power plants ramp rates, IEEE Transactions on Power Systems, 30, 5, pp. 2498-2506, (2015)
  • [8] RAFIEE SANDGANI M, SIROUSPOUR S., Coordinated optimal dispatch of energy storage in a network of grid-connected microgrids, IEEE Transactions on Sustainable Energy, 8, 3, pp. 1166-1176, (2017)
  • [9] BHATNAGAR D, CURRIER A, HERNANDEZ J, Et al., Market and policy barriers to energy storage deployment
  • [10] ARRA energy storage demonstrations
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