Against All Odds

Corredor, Pablo; Ruíz, M. T.

doi:10.1109/mpe.2011.940266

Cited by 17 publications

(5 citation statements)

References 2 publications

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“…The purpose of the disruptive agent is to maximize the total load shedding as indicated in (1). In this case, the lower index n indicates the number of the bus; while the upper index d, refers to the demand.…”

Section: A Upper-level Optimization Problemmentioning

confidence: 99%

“…ODERN societies are highly dependent on the reliable operation of critical infrastructure. Electric transmission and distribution systems are examples of structures that need to be protected from both natural occurring phenomena and malicious attacks [1]. Due to their meshed topology, power outages due to failures of the transmission system are not as often as those in distribution systems; nevertheless, transmission failures affect a greater number of customers with higher costs involved [2].…”

Section: Introductionmentioning

confidence: 99%

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A Bilevel Attacker-Defender Model for Enhancing Power Systems Resilience with Distributed Generation

López-Lezama¹,

Cuestas²,

Valencia³

2020

Sci. tech

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Electric transmission and distribution systems are subject not only to natural occurring outages but also to intentional attacks. These lasts performed by malicious agents that aim at maximizing the load shedding of the system. Intentional attacks are counteracted by the reaction of the system operator which deploys strategies to minimize the damage caused by such attacks. This paper presents a bilevel modeling approach for enhancing resilience of power systems with high participation of distributed generation (DG). The model describes the interaction of a disruptive agent that aims at maximizing damage to a power system and the system operator that resorts to different strategies to minimize system damage. The proposed mixed integer nonlinear programming model is solved with a hybrid genetic algorithm. Results are presented on a benchmark power system showing the optimal responses of the system operator for a set of deliberate attacks. It was observed that the higher the participation of DG the lower the impact of the attacks was. The presence of DG also influenced the optimal strategies of the attacker which in some cases deviated from optimal attack plans to suboptimal solutions. This allows concluding that the presence of DG benefits the power system in terms of less expected load shedding under intentional attacks.

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Section: A Upper-level Optimization Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Bilevel Attacker-Defender Model for Enhancing Power Systems Resilience with Distributed Generation

López-Lezama¹,

Cuestas²,

Valencia³

2020

Sci. tech

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“…These disruptive events bring along high operating costs, due to unforeseen changes in the initial dispatch plan, repair costs of elements such as lines, transformers, and towers, as well as eventual compensations to consumers due to load shedding. Power system operators are in charge of assessing such costs and developing strategies to minimize the impact of eventual outages [2]. Since the costs of outages are high for both the consumers and the network operator, it is necessary to establish strategies before, during and after an attack to mitigate the impact and duration of service interruptions [3].…”

Section: Introduction 1motivationmentioning

confidence: 99%

Vulnerability Analysis to Maximize the Resilience of Power Systems Considering Demand Response and Distributed Generation

2021

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Electric power systems are subject to failures, due to both deliberate and fortuitous events. This paper addresses the first case in which a disruptive agent aims at maximizing the damage to the network (expressed through the total cost of operation), while the system operator takes the necessary measures to mitigate the effects of this attack. The interaction between these two agents is modeled by means of a bi-level optimization problem. On one hand, the disruptive agent is positioned in the upper-level optimization problem and must decide which elements to render out of service (lines and generators), given a limited destructive budget. On the other hand, the system operator, located in a lower-level optimization problem, reacts to the attack by deploying mitigation measures in order to minimize cost overruns in system operation. Based on the aforementioned dynamic, this paper proposes a novel approach to maximize the resiliency of the power system under intentional attacks through the implementation of distributed energy resources (DERs), namely, distributed generation (DG) and demand response (DR). Three metrics are proposed to assess resilience by assigning DERs in islands generated by the destruction of lines and generators. The results obtained in a didactic 5-bus test system and the IEEE RTS-24 bus test system demonstrate the applicability and effectiveness of the proposed methodology.

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“…Electric power systems are exposed not only to natural occurring phenomena but also to intentional attacks [1]. The classic approach to assess power system vulnerability consists on the so called N-1 and N-2 security criterion.…”

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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Against All Odds

Cited by 17 publications

References 2 publications

A Bilevel Attacker-Defender Model for Enhancing Power Systems Resilience with Distributed Generation

A Bilevel Attacker-Defender Model for Enhancing Power Systems Resilience with Distributed Generation

Vulnerability Analysis to Maximize the Resilience of Power Systems Considering Demand Response and Distributed Generation

An Approach to the Power System Interdiction Problem Considering Reconfiguration

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