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
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.
引用
收藏
页码:193 / 207
页数:14
相关论文
共 117 条
  • [51] KIEHNE H A., Battery technology handbook, (2003)
  • [52] TOMAN M, CIPIN R, CERVINKA D., Li-ion battery charging efficiency, ECS Transactions, 74, 1, pp. 37-43, (2016)
  • [53] MICHAEL S, MAIK N, NAM T, Et al., Energy efficiency evaluation of a stationary lithium-ion battery container storage system via electro-thermal modeling and detailed component analysis, Applied Energy, 210, pp. 211-229, (2018)
  • [54] QI F, WANG Z, WU Y., 650 V GaN based 3.3 kW bi-directional DC-DC converter for high efficiency battery charger with wide battery voltage range, 2019 IEEE Applied Power Electronics Conference and Exposition (APEC), (2019)
  • [55] AHN J, LEE B K., High-efficiency adaptive-current charging strategy for electric vehicles considering variation of internal resistance of lithium-ion battery, IEEE Transactions on Power Electronics, 34, 4, pp. 3041-3052, (2019)
  • [56] NGUYEN T A, CROW M L., Stochastic optimization of renewable-based microgrid operation incorporating battery operating cost, IEEE Transactions on Power Systems, 31, 3, pp. 2289-2296, (2015)
  • [57] TREMBLAY O, DESSAINT L A., Experimental validation of a battery dynamic model for EV applications, World Electric Vehicle Journal, 3, 2, pp. 289-298, (2009)
  • [58] SZUMANOWSKI A, CHANG Y., Battery management system based on battery nonlinear dynamics modeling, IEEE Transactions on Vehicular Technology, 57, 3, pp. 1425-1432, (2008)
  • [59] SAKTI A, GALLAGHER K G, SEPULVEDA N, Et al., Enhanced representations of lithium-ion batteries in power systems models and their effect on the valuation of energy arbitrage applications, Journal of Power Sources, 342, pp. 279-291, (2017)
  • [60] DOYLE M, FULLER T F, NEWMAN J., Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell, Journal of the Electrochemical Society, 140, 6, pp. 1526-1533, (1993)