Data-driven approaches for cyber defense of battery energy storage systems

作     者：Nina Kharlamova Seyedmostafa Hashemi Chresten Træholt 

作者机构：Technical University of DenmarkCopenhagenDenmark 

出 版 物：《能源与人工智能(英文)》 (Energy and AI)

年 卷 期：2021年第5卷第3期

页      面：379-387页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 0807[工学-动力工程及工程热物理] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0702[理学-物理学] 

基　　金：This work is supported by the Danish project“BOSS:Bornholm smartgrid secured by grid connected battery systems”co-founded by Danish Energy technology Development and Demonstration program(EUDP)contract no.64018-0618 

主　　题：Cyber security Artificial intelligence Battery energy storage system False data injection attack Cyberattack Machine learning 

摘      要：Battery energy storage system(BESS)is an important component of a modern power system since it allows seamless integration of renewable energy sources(RES)into the grid.A BESS is vulnerable to various cyber threats that may influence its proper operation,which in turn impacts negatively the BESS and the electric *** potential failure of a BESS can cause economic issues and physical damage to its *** ensure cyber-secure and reliable BESS operation in grid-connected or islanded modes of the BESS operation,a cyber-defense strategy is ***,a comprehensive review on the requirements for the BESS design as well as the attack detection and mitigation methods is *** this paper,we review state-of-the-art attack detection and mitigation methods for various BESS applications focusing on machine learning(ML)and artificial intelligence(AI)-based *** addition,the state-of-the-art methods for designing and operating a cyber-secure BESS are *** on the literature review,we identified gaps in the current research,defined the possible cyberattacks against the BESS that have not been considered before,and suggested the potential approaches to detect them.