Steady-State Analysis of Microgrid Distributed Control Under Denial of Service Attacks

被引:19
|
作者
Liu, Jianzhe [1 ]
Du, Yuhua [2 ]
Yim, Sang-il [1 ]
Lu, Xiaonan [2 ]
Chen, Bo [1 ]
Qiu, Feng [1 ]
机构
[1] Argonne Natl Lab, Energy Syst Div, Lemont, IL 60439 USA
[2] Temple Univ, Coll Engn, Philadelphia, PA 19122 USA
关键词
Microgrids; Decentralized control; Mathematical model; Steady-state; Analytical models; Topology; Communication networks; Denial of service; distributed control; microgrid; steady-state analysis; ENERGY-STORAGE SYSTEMS; ISLANDED MICROGRIDS; SECONDARY CONTROL; DC MICROGRIDS; COORDINATED CONTROL; AC; SYNCHRONIZATION; COMMUNICATION; OPTIMIZATION; RESILIENCE;
D O I
10.1109/JESTPE.2020.2990879
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Distributed control is an effective method to coordinate multiple components in a microgrid. It usually has mandatory requirements for communication graph topology; changing the topology unexpectedly could disrupt the operation of a distributed controller. A denial of service (DoS) attack blocks communication channels to cause variations in communication graph. Unforeseen topology changes render a controller to receive incomplete system information. Control decisions made based on incorrect information can lead to significantly reduced grid supporting capability. As a result, the vital power balance between generation and load may be challenged. Determining power balance requires steady-state power flow analysis; however, the cyber-induced steady-state analysis is not well studied in the literature. In this article, we show that a cyber-physical microgrid with unknown DoS attacks has augmented uncertain power flow equations, whose special structure creates new computational issue to determining power balance. To deal with the issue, we develop a novel cyber-induced microgrid model: the cyber-physical system is transformed into a pure physical model, where the disruption effects of DoS in the cyber layer are shown to be equivalent to the variations of the physical model parameters. With the transformed system, we develop a sufficient condition to ascertain the system power balance under unknown DoS attacks. In addition, practical insights for resilient distributed control design are shown as well.
引用
收藏
页码:5311 / 5325
页数:15
相关论文
共 50 条
  • [1] Denial of service and distributed denial of service attacks
    Piskozub, A
    MODERN PROBLEMS OF RADIO ENGINEERING, TELECOMMUNICATIONS AND COMPUTER SCIENCE, PROCEEDINGS, 2002, : 303 - 304
  • [2] Distributed denial of service attacks
    Lau, F
    Rubin, SH
    Smith, MH
    Trajkovic, L
    SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5, 2000, : 2275 - 2280
  • [3] Distributed state estimation under denial of service
    Battistelli, Giorgio
    Chisci, Luigi
    Selvi, Daniela
    Tesi, Pietro
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 7818 - 7823
  • [4] Distributed State Estimation for State-Saturated Power Systems under Denial-of-Service Attacks
    Chen, Wei
    Wang, Xueli
    Mao, Jingyang
    Ding, Derui
    16TH IEEE INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2020), 2020, : 824 - 829
  • [5] Honeypots for distributed Denial of Service Attacks
    Weiler, N
    WET ICE 2002: ELEVENTH IEEE INTERNATIONAL WORKSHOPS ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES, PROCEEDINGS, 2002, : 109 - 114
  • [6] An Examination of Distributed Denial of Service Attacks
    Bartholemy, Alex
    Chen, Weifeng
    2015 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT), 2015, : 274 - 279
  • [7] A Taxonomy of Distributed Denial of Service Attacks
    De Donno, Michele
    Giaretta, Alberto
    Dragoni, Nicola
    Spognardi, Angelo
    2017 INTERNATIONAL CONFERENCE ON INFORMATION SOCIETY (I-SOCIETY 2017), 2017, : 100 - 107
  • [8] Defeating distributed denial of service attacks
    Geng, Xianjun
    Whinston, Andrew B.
    IT Professional, 2000, 2 (04) : 36 - 41
  • [9] Distributed adaptive secure consensus control for multiagent systems under denial-of-service attacks
    Wang, Binrui
    Liu, Dan
    Zhou, Kun
    Cui, Xiaohong
    Shi, Kaibo
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2025, 56 (04) : 753 - 766
  • [10] Stability Analysis for Networked Control Systems under Denial-of-Service Attacks
    Cao, Rui
    Wu, Jing
    Long, Chengnian
    Li, Shaoyuan
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 7476 - 7481