Battery energy storage systems (BESSs) and the economy-dynamics of microgrids: Review, analysis, and classification for standardization of BESSs applications

被引:39
作者
Eskandari, Mohsen [1 ]
Rajabi, Amin [2 ]
Savkin, Andrey, V [1 ]
Moradi, Mohammad H. [3 ]
Dong, Zhao Yang [4 ]
机构
[1] Univ New South Wales, Sydney, NSW 2052, Australia
[2] Univ Wollongong, Australian Power Qual & Reliabil Ctr, Wollongong, NSW 2522, Australia
[3] Bu Ali Sina Univ, Hamadan 6516863611, Hamadan, Iran
[4] Nanyang Technol Univ, Singapore, Singapore
基金
澳大利亚研究理事会;
关键词
Economics; Battery energy storage; Dynamics; Microgrids; Renewable energy; Frequency support; Inertia synthesis; COOPERATIVE CONTROL STRATEGY; EVALUATING FREQUENCY REGULATION; MODEL-PREDICTIVE CONTROL; MANAGEMENT-SYSTEM; RENEWABLE ENERGY; VIRTUAL INERTIA; DEMAND RESPONSE; SIMULTANEOUS-OPTIMIZATION; OPERATIONAL STRATEGY; TRANSIENT STABILITY;
D O I
10.1016/j.est.2022.105627
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Existing literature on microgrids (MGs) has either investigated the dynamics or economics of MG systems. Accordingly, the important impacts of battery energy storage systems (BESSs) on the economics and dynamics of MGs have been studied only separately due to the different time constants of studies. However, with the advent of modern complicated microgrids, BESSs are bridging these two domains. Thus, there is a need to study how these two are related in conjunction with each other. Looking at both the economics and dynamics of MGs and exploring their links will help researchers develop joint Econo-dynamics models, notably in the context of digital twin technology, that could be the future trend toward net-zero emission systems. This paper reviews, analyses, and classifies BESSs applications based on their time constants. The classified BESS applications are: 1) synthetic inertia response; 2) primary frequency support to compensate for the slow response micro-sources; 3) real-time energy management for covering intermittent renewables; 4) economic dispatch for improving steady-state performance, and 5) slack bus realization. Research gaps and future trends have been discussed throughout the paper and are summarized in the future trend section.
引用
收藏
页数:23
相关论文
共 212 条
[1]   Virtual Inertia in a Microgrid with Renewable Generation and a Battery Energy Storage System in Islanding Transition [J].
Adu, James Amankwah ;
Penaloza, Juan D. Rios ;
Napolitano, Fabio ;
Tossani, Fabio .
2019 1ST INTERNATIONAL CONFERENCE ON ENERGY TRANSITION IN THE MEDITERRANEAN AREA (SYNERGY MED 2019), 2019,
[2]   A new approach for optimal sizing of battery energy storage system for primary frequency control of islanded Microgrid [J].
Aghamohammadi, Mohammad Reza ;
Abdolahinia, Hajar .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 54 :325-333
[3]   A review on rapid responsive energy storage technologies for frequency regulation in modern power systems [J].
Akram, Umer ;
Nadarajah, Mithulananthan ;
Shah, Rakibuzzaman ;
Milano, Federico .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, 120
[4]   Algorithm for Demand Response to Maximize the Penetration of Renewable Energy [J].
Al Hadi, Abdullah ;
Santos Silva, Carlos A. ;
Hossain, Eklas ;
Challoo, Rajab .
IEEE ACCESS, 2020, 8 :55279-55288
[5]   Stochastic Optimal Planning of Battery Energy Storage Systems for Isolated Microgrids [J].
Alharbi, Hisham ;
Bhattacharya, Kankar .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (01) :211-227
[6]   A Comprehensive Battery Energy Storage Optimal Sizing Model for Microgrid Applications [J].
Alsaidan, Ibrahim ;
Khodaei, Amin ;
Gao, Wenzhong .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (04) :3968-3980
[7]   On Average Performance and Stability of Economic Model Predictive Control [J].
Angeli, David ;
Amrit, Rishi ;
Rawlings, James B. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (07) :1615-1626
[8]   A Novel Control Method Based on Droop for Cooperation of Flywheel and Battery Energy Storage Systems in Islanded Microgrids [J].
Arani, Ali Asghar Khodadoost ;
Gharehpetian, Gevork B. ;
Abedi, Mehrdad .
IEEE SYSTEMS JOURNAL, 2020, 14 (01) :1080-1087
[9]   Analysis and Mitigation of the Impacts of Asymmetrical Virtual Inertia [J].
Arani, Mohammadreza Fakhari Moghaddam ;
Mohamed, Yasser Abdel-Rady I. ;
El-Saadany, Ehab F. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (06) :2862-2874
[10]   Sizing and Analysis of Renewable Energy and Battery Systems in Residential Microgrids [J].
Atia, Raji ;
Yamada, Noboru .
IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (03) :1204-1213