A Review on the Degradation Implementation for the Operation of Battery Energy Storage Systems

被引:17
作者
Camunas Garcia-Miguel, Pedro Luis [1 ]
Alonso-Martinez, Jaime [1 ]
Arnaltes Gomez, Santiago [1 ]
Garcia Plaza, Manuel [2 ]
Pena Asensio, Andres [2 ]
机构
[1] Carlos III Univ Madrid, Fac Engn, Super Polytech Sch, Elect Engn Dept, Leganes 28911, Spain
[2] Siemens Gamesa Renewable Energy, Madrid 48170, Spain
来源
BATTERIES-BASEL | 2022年 / 8卷 / 09期
关键词
BESS; degradation; optimization; batteries; ELECTRIC VEHICLES; ARBITRAGE; MANAGEMENT; COST; OPTIMIZATION; DISPATCH;
D O I
10.3390/batteries8090110
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
A naive battery operation optimization attempts to maximize short-term profits. However, it has been shown that this approach does not optimize long-term profitability, as it neglects battery degradation. Since a battery can perform a limited number of cycles during its lifetime, it may be better to operate the battery only when profits are on the high side. Researchers have dealt with this issue using various strategies to restrain battery usage, reducing short-term benefits in exchange for an increase in long-term profits. Determining this operation restraint is a topic scarcely developed in the literature. It is common to arbitrarily quantify degradation impact into short-term operation, which has proven to have an extensive impact on long-term results. This paper carries out a critical review of different methods of degradation control for short-time operation. A classification of different practices found in the literature is presented. Strengths and weaknesses of each approach are pointed out, and future possible contributions to this topic are remarked upon. The most common methodology is implemented in a simulation for demonstration purposes.
引用
收藏
页数:14
相关论文
共 46 条
[1]  
Abdulla Khalid, 2018, IEEE Transactions on Smart Grid, V9, P2086, DOI [10.1109/PESGM.2017.8273930, 10.1109/TSG.2016.2606490]
[2]   A chance-constrained energy management in multi-microgrid systems considering degradation cost of energy storage elements [J].
Aghdam, Farid Hamzeh ;
Kalantari, Navid Taghizadegan ;
Mohammadi-Ivatloo, Behnam .
JOURNAL OF ENERGY STORAGE, 2020, 29
[3]   Cost-Benefit Analysis of V2G Implementation in Distribution Networks Considering PEVs Battery Degradation [J].
Ahmadian, Ali ;
Sedghi, Mahdi ;
Mohammadi-ivatloo, Behnam ;
Elkamel, Ali ;
Golkar, Masoud Aliakbar ;
Fowler, Michael .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (02) :961-970
[4]  
Akbari-Dibavar A, 2020, PROC IEEE INT SYMP, P929, DOI [10.1109/ISIE45063.2020.9152498, 10.1109/isie45063.2020.9152498]
[5]   Optimal sizing of battery energy storage in a microgrid considering capacity degradation and replacement year [J].
Amini, Mohammad ;
Khorsandi, Amir ;
Vahidi, Behrooz ;
Hosseinian, Seyed Hossein ;
Malakmahmoudi, Ali .
ELECTRIC POWER SYSTEMS RESEARCH, 2021, 195
[6]  
[Anonymous], 2021, Energy storage
[7]   Coordinated Optimization of Multiservice Dispatch for Energy Storage Systems With Degradation Model for Utility Applications [J].
Baggu, Murali Mohan ;
Nagarajan, Adarsh ;
Cutler, Dylan ;
Olis, Dan ;
Bialek, Thomas Owen ;
Symko-Davies, Martha .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 10 (02) :886-894
[8]   A review on lithium-ion battery ageing mechanisms and estimations for automotive applications [J].
Barre, Anthony ;
Deguilhem, Benjamin ;
Grolleau, Sebastien ;
Gerard, Mathias ;
Suard, Frederic ;
Riu, Delphine .
JOURNAL OF POWER SOURCES, 2013, 241 :680-689
[9]   Aging mechanism in Li ion cells and calendar life predictions [J].
Broussely, M ;
Herreyre, S ;
Biensan, P ;
Kasztejna, P ;
Nechev, K ;
Staniewicz, RJ .
JOURNAL OF POWER SOURCES, 2001, 97-8 :13-21
[10]   Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model [J].
Cao, Jun ;
Harrold, Dan ;
Fan, Zhong ;
Morstyn, Thomas ;
Healey, David ;
Li, Kang .
IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (05) :4513-4521