Compromising Security of Economic Dispatch in Power System Operations

Devendra Shelar, Pengfei Sun, Saurabh Amin, Saman Aliari Zonouz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Power grid operations rely on the trustworthy operation of critical control center functionalities, including the so-called Economic Dispatch (ED) problem. The ED problem is a large-scale optimization problem that is periodically solved by the system operator to ensure the balance of supply and load while maintaining reliability constraints. In this paper, we propose a semantics-based attack generation and implementation approach to study the security of the ED problem.1 Firstly, we generate optimal attack vectors to transmission line ratings to induce maximum congestion in the critical lines, resulting in the violation of capacity limits. We formulate a bilevel optimization problem in which the attacker chooses manipulations of line capacity ratings to maximinimize the percentage line capacity violations under linear power flows. We reformulate the bilevel problem as a mixed integer linear program that can be solved efficiently. Secondly, we describe how the optimal attack vectors can be implemented in commercial energy management systems (EMSs). The attack explores the dynamic memory space of the EMS, and replaces the true line capacity ratings stored in data regions with the optimal attack vectors. In contrast to the well-known false data injection attacks to control systems that require compromising distributed sensors, our approach directly implements attacks to the control center server. Our experimental results on benchmark power systems and five widely utilized EMSs show the practical feasibility of our attack generation and implementation approach.

Original languageEnglish (US)
Title of host publicationProceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages531-542
Number of pages12
ISBN (Electronic)9781538605417
DOIs
StatePublished - Aug 30 2017
Event47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017 - Denver, United States
Duration: Jun 26 2017Jun 29 2017

Publication series

NameProceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017

Other

Other47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017
CountryUnited States
CityDenver
Period6/26/176/29/17

Fingerprint

Energy management systems
Economics
Electric lines
Servers
Semantics
Control systems
Data storage equipment
Sensors

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • Cyber-physical systems
  • network security seem like the most relevant keywords
  • smart grids

Cite this

Shelar, D., Sun, P., Amin, S., & Aliari Zonouz, S. (2017). Compromising Security of Economic Dispatch in Power System Operations. In Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017 (pp. 531-542). [8023151] (Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSN.2017.60
Shelar, Devendra ; Sun, Pengfei ; Amin, Saurabh ; Aliari Zonouz, Saman. / Compromising Security of Economic Dispatch in Power System Operations. Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 531-542 (Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017).
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Shelar, D, Sun, P, Amin, S & Aliari Zonouz, S 2017, Compromising Security of Economic Dispatch in Power System Operations. in Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017., 8023151, Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017, Institute of Electrical and Electronics Engineers Inc., pp. 531-542, 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017, Denver, United States, 6/26/17. https://doi.org/10.1109/DSN.2017.60

Compromising Security of Economic Dispatch in Power System Operations. / Shelar, Devendra; Sun, Pengfei; Amin, Saurabh; Aliari Zonouz, Saman.

Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 531-542 8023151 (Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Compromising Security of Economic Dispatch in Power System Operations

AU - Shelar, Devendra

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AU - Amin, Saurabh

AU - Aliari Zonouz, Saman

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N2 - Power grid operations rely on the trustworthy operation of critical control center functionalities, including the so-called Economic Dispatch (ED) problem. The ED problem is a large-scale optimization problem that is periodically solved by the system operator to ensure the balance of supply and load while maintaining reliability constraints. In this paper, we propose a semantics-based attack generation and implementation approach to study the security of the ED problem.1 Firstly, we generate optimal attack vectors to transmission line ratings to induce maximum congestion in the critical lines, resulting in the violation of capacity limits. We formulate a bilevel optimization problem in which the attacker chooses manipulations of line capacity ratings to maximinimize the percentage line capacity violations under linear power flows. We reformulate the bilevel problem as a mixed integer linear program that can be solved efficiently. Secondly, we describe how the optimal attack vectors can be implemented in commercial energy management systems (EMSs). The attack explores the dynamic memory space of the EMS, and replaces the true line capacity ratings stored in data regions with the optimal attack vectors. In contrast to the well-known false data injection attacks to control systems that require compromising distributed sensors, our approach directly implements attacks to the control center server. Our experimental results on benchmark power systems and five widely utilized EMSs show the practical feasibility of our attack generation and implementation approach.

AB - Power grid operations rely on the trustworthy operation of critical control center functionalities, including the so-called Economic Dispatch (ED) problem. The ED problem is a large-scale optimization problem that is periodically solved by the system operator to ensure the balance of supply and load while maintaining reliability constraints. In this paper, we propose a semantics-based attack generation and implementation approach to study the security of the ED problem.1 Firstly, we generate optimal attack vectors to transmission line ratings to induce maximum congestion in the critical lines, resulting in the violation of capacity limits. We formulate a bilevel optimization problem in which the attacker chooses manipulations of line capacity ratings to maximinimize the percentage line capacity violations under linear power flows. We reformulate the bilevel problem as a mixed integer linear program that can be solved efficiently. Secondly, we describe how the optimal attack vectors can be implemented in commercial energy management systems (EMSs). The attack explores the dynamic memory space of the EMS, and replaces the true line capacity ratings stored in data regions with the optimal attack vectors. In contrast to the well-known false data injection attacks to control systems that require compromising distributed sensors, our approach directly implements attacks to the control center server. Our experimental results on benchmark power systems and five widely utilized EMSs show the practical feasibility of our attack generation and implementation approach.

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M3 - Conference contribution

T3 - Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017

SP - 531

EP - 542

BT - Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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Shelar D, Sun P, Amin S, Aliari Zonouz S. Compromising Security of Economic Dispatch in Power System Operations. In Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 531-542. 8023151. (Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017). https://doi.org/10.1109/DSN.2017.60