Cyber-Physical Interdependence for Power System Operation and Control

被引：0

作者：

Zografopoulos, Ioannis ^{[1
]}

Srivastava, Ankur ^{[2
]}

Konstantinou, Charalambos ^{[3
]}

Zhao, Junbo ^{[2
]}

Abiri Jahromi, Amir ^{[4
]}

Chawla, Astha ^{[5
]}

Nguyen, Bang ^{[6
]}

Siqi, Bu ^{[7
]}

Li, Chendan ^{[8
]}

Teng, Fei ^{[9
]}

Preetham, Goli ^{[10
]}

Ospina, Juan ^{[11
]}

Asim Aftab, Mohammad ^{[3
]}

Arani, Mohammadreza ^{[12
]}

Sen, Omer ^{[13
]}

Moutis, Panayiotis ^{[14
]}

Ge, Pudong ^{[9
]}

Guo, Qinglai ^{[15
]}

Sahoo, Subham ^{[16
]}

Lakshminarayana, Subhash ^{[17
]}

Vu, Tuyen ^{[18
]}

Wang, Zhaoyuan ^{[7
]}

机构：

[1] Univ Massachusetts Boston, Engn Dept, Boston, MA 02125 USA

[2] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA

[3] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia

[4] Univ Leeds, Sch Elect & Elect Engn, Leeds LS2 9JT, England

[5] Siemens, Cybersecur & Trust Res Grp, Bengaluru 560100, India

[6] Natl Wind Technol Ctr, Natl Renewable Energy Lab, Golden, CO 80401 USA

[7] Hong Kong Polytech Univ, Dept Elect & Elect Engn, Hong Kong, Peoples R China

[8] Univ Genoa, Dept Elect Elect Telecommun Engn & Naval Architect, I-16126 Genoa, Italy

[9] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England

[10] Univ Missouri Kansas City, Dept Comp Sci & Elect Engn, Kansas City, MO 64110 USA

[11] Los Alamos Natl Lab, A 1 Informat & Syst Modeling, Los Alamos, NM 87545 USA

[12] Toronto Metropolitan Univ, Dept Elect Comp & Biomed Engn, Toronto, ON M5B 2K3, Canada

[13] Fraunhofer FIT, Dept Digital Energy, D-52068 Aachen, Germany

[14] CUNY City Coll, Dept Elect Engn, New York, NY 10031 USA

[15] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

[16] Aalborg Univ, Dept Energy, DK-9220 Aalborg, Denmark

[17] Univ Warwick, Sch Engn, Coventry CV4 7AL, England

[18] Clarkson Univ, Dept Elect & Comp Engn, Potsdam, NY 13699 USA

来源：

IEEE TRANSACTIONS ON SMART GRID | 2025年 / 16卷 / 03期

关键词：

Power system stability; Analytical models; Control systems; Computer security; Resilience; Computer architecture; Reliability; Power system reliability; Monitoring; Communication networks; Communication; co-simulation; cybersecurity; cyber-physical power system; interdependency; operation and control; monitoring; resilience; renewable energy; stability; DYNAMIC STATE ESTIMATION; DATA INJECTION ATTACKS; SMALL-SIGNAL STABILITY; LOAD FREQUENCY CONTROL; SUPPORT VECTOR REGRESSION; AREA DAMPING CONTROL; NETWORKED MICROGRIDS; RADIALITY CONSTRAINTS; LEARNING APPROACH; ALTERING ATTACKS;

D O I：

暂无

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：

This paper summarizes the technical endeavors undertaken by the Task Force (TF) on Cyber-Physical Interdependence for Power System Operation and Control. The TF was established to investigate the cyber-physical interdependence of critical power system elements and their influence on the operation and control of energy systems. State-of-the-art analysis techniques, including co-simulation and digital twin technologies, are employed to address various layers of interdependence between cyber and physical systems, facilitating the identification of potential threats and vulnerabilities. The paper examines prospective trajectories for resilient cyber-physical systems and outlines the educational and workforce training imperatives for addressing cybersecurity threats in contemporary power systems. Furthermore, concluding remarks and future recommendations are provided to mitigate the inherent vulnerabilities within the extensively interoperable grid infrastructure.

引用

页码：2554 / 2573

页数：20

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