A tri-level optimization model to mitigate coordinated attacks on electric power systems in a cyber-physical environment

Lai, Kexing; Subramaniam, Karthikeyan

doi:10.1016/j.apenergy.2018.10.077

Cited by 109 publications

(36 citation statements)

References 23 publications

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“…The link between AD model and ED model can be observed in constraints (20) and (21). Specifically, the output of diesel generators and stored energy in battery at the hour before the attack are determined by ED model which will affect the load shedding during restoration.…”

Section: Attacker-defender (Ad) Modelmentioning

confidence: 99%

“…A comprehensive game framework was proposed to explore the reliable defending strategies on power systems against attacks [19]. Tri-level optimization models were used in [20,21] to determine optimal defending strategy which minimizes load shedding under attacks in the worstcase scenario. The uncertainty of offensive resources in the tri-level optimization model was formulated by a probability distribution function in [22] when determining the optimal defending strategy.…”

Section: Introductionmentioning

confidence: 99%

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Sizing battery storage for islanded microgrid systems to enhance robustness against attacks on energy sources

Lai

Wang

Shi

et al. 2019

J. Mod. Power Syst. Clean Energy

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Power system security against attacks is drawing increasing attention in recent years. Battery energy storage systems (BESSs) are effective in providing emergency support. Although the benefits of BESSs have been extensively studied earlier to improve the system economics, their role in enhancing the system robustness in overcoming attacks has not been adequately investigated. This paper addresses the gap by proposing a new battery storage sizing algorithm for microgrids to limit load shedding when the energy sources are attacked. Four participants are considered in a framework involving interactions between a robustness-oriented economic dispatch model and a bilevel attacker-defender model. The proposed method is tested with the data from a microgrid system in Kasabonika Lake of Canada. Comprehensive case studies are carried out to demonstrate the effectiveness and merits of the proposed approach.

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Section: Attacker-defender (Ad) Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sizing battery storage for islanded microgrid systems to enhance robustness against attacks on energy sources

Lai

Wang

Shi

et al. 2019

J. Mod. Power Syst. Clean Energy

Self Cite

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show abstract

“…The attacker-defender model has also been introduced within the expansion problem of electric power systems as reported in [6] and [7]. In both papers, the bilevel programming framework is expanded into a tri-level optimization model which considers the system planner as the upper-level agent that must find the right set of reinforcements to minimize the damage caused by a disruptive agent (located in the middlelevel optimization problem), which in turn must anticipate the reaction of the system operator (located in the lower-level optimization problem).…”

Section: Introductionmentioning

confidence: 99%

An Approach to the Power System Interdiction Problem Considering Reconfiguration

Arcila¹,

López-Lezama²,

Muñóz-Galeano³

2020

International Journal of Engineering Research and Technology

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This paper presents a metaheuristic approach to solve the power system interdiction problem considering reconfiguration. The problem consists on the interaction of two agents: an attacker that aims at causing the greatest damage to the network in terms of load shedding, and the system operator who reacts by re-dispatching available energy resources, and also by altering the topology of the system. The interaction of these two agents is modeled as a bilevel programing problem and solved by means of a genetic algorithm. Several tests were performed on a benchmark power system evidencing the applicability of the proposed approach. It was found that reconfiguration of the power system is a valuable strategy for reducing load shedding caused by intentional attacks.

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“…On the other hand, the DAD model is usually formulated as a tri-level programming problem with three rounds of action [17]:…”

Section: Introductionmentioning

confidence: 99%

“…It should be noted that the above tri-level optimization problems (1)- (14) and (16)- (17) are just simple mathematical formulations for demonstration, they can be easily extended to include more details, such as the cost in the objective function and more realistic constraints.…”

mentioning

confidence: 99%

Optimal Deception Strategies in Power System Fortification against Deliberate Attacks

2019

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As a critical infrastructure, the modern electrical network is faced with various types of threats, such as accidental natural disaster attacks and deliberate artificial attacks, thus the power system fortification has attracted great concerns in the community of academic, industry, and military. Nevertheless, the attacker is commonly assumed to be capable of accessing all information in the literature (e.g., network configuration and defensive plan are explicitly provided to the attacker), which might always be the truth since the grid data access permission is usually restricted. In this paper, the information asymmetry between defender and attacker is investigated, leading to an optimal deception strategy problem for power system fortification. Both the proposed deception and traditional protection strategies are formulated as a tri-level mixed-integer linear programming (MILP) problem and solved via two-stage robust optimization (RO) framework and the column-and-constraint generation (CCG) algorithm. Comprehensive case studies on the 6-bus system and IEEE 57-bus system are implemented to reveal the difference between these two strategies and identify the significance of information deception. Numerical results indicate that deception strategy is superior to protection strategy. In addition, detailed discussions on the performance evaluation and convergence analysis are presented as well.

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A tri-level optimization model to mitigate coordinated attacks on electric power systems in a cyber-physical environment

Cited by 109 publications

References 23 publications

Sizing battery storage for islanded microgrid systems to enhance robustness against attacks on energy sources

Sizing battery storage for islanded microgrid systems to enhance robustness against attacks on energy sources

An Approach to the Power System Interdiction Problem Considering Reconfiguration

Optimal Deception Strategies in Power System Fortification against Deliberate Attacks

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