Reliability Assessment of Smart Grids Considering Indirect Cyber-Power Interdependencies

Falahati, Bamdad; Yong, Fu

doi:10.1109/tsg.2014.2310742

Cited by 148 publications

(76 citation statements)

References 18 publications

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“…ISTRIBUTION system reliability relates to customer satisfaction, and may also lead to penalties to utilities who fail to meet the expected level of power supply reliability [1][2][3]. Currently, the widely adopted reliability indices, such as the system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI), are primarily benchmarked based on long duration interruptions [4,5].…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers

Sun

You

et al. 2018

IEEE Trans. Smart Grid

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Abstract-One of the major functions of a smart substation (SS) is to restore power supply to interrupted customers as quickly as possible after an outage. The high cost of a smart substation limits its widespread utilization. In this paper, a smart substation allocation model (SSAM) to determine the optimal number and allocation of smart substations in a given distribution system is presented, with the upgrade costs of substations and the interruption costs of customers taken into account. Besides, the reliability criterion is also properly considered in the model. By linearization strategies, the SSAM is simplified into a mixed integer linear programming problem which could be solved efficiently with commercial solvers. Finally, the performance of the proposed methodology is demonstrated by the standard RBTS-BUS 4 test system and a medium voltage power distribution system in Denmark.

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Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers

Sun

You

et al. 2018

IEEE Trans. Smart Grid

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“…Several methodologies have been proposed in recent years to quantitatively model ICT malfunctions and evaluate their impact on the power grid. Falahati et al and Falahati and Fu categorized the impact of cyber failures on power systems into direct and indirect interdependencies. Such interdependencies are represented by the P‐Table and modified Markov state transition models of power components.…”

Section: Introductionmentioning

confidence: 99%

Framework of a benchmark testbed for power system cyber-physical reliability studies

Lei

Chakhchoukh

Singh

2018

Int Trans Electr Energ Syst

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Summary The functioning of communication and control networks inevitably impacts the reliability of power systems. However, due to the complex cyber‐power interdependencies and the unavailability of a benchmark testbed, developing feasible and effective models that incorporate the impact of cyber system failures on power systems is challenging in reliability studies. In this paper, we propose the framework of a benchmark testbed by extending the IEEE Reliability Test System (RTS) 79 with cyber configurations. A comprehensive methodology to model intra and inter substation malfunctions is also presented to quantitatively compute the impact of cyber failures on composite power system reliability. System‐wide reliability indices, such as the loss of load expectation and the expected energy not supplied, are obtained. Simulation results demonstrate that power system reliability is degraded due to cyber malfunctions. Furthermore, the extension of the IEEE RTS 79 with information and communication technology specifications provides a benchmark tool for researchers in future cyber‐physical reliability studies.

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“…The HCS network was abstracted to a node-branch graph using this model, and information flow was expressed by a series of mathematical equations for the sake of cyber-contingency assessment. Falahati et al [14,15] discussed direct and indirect interdependencies in modern power systems, introduced a state mapping method to map the cyber layer failures to physical layer failures, and two optimization models were presented to minimize the losses. The impact of direct cyber-power interdependencies (DCPIs) was also studied in [16], and risk assessment methods under different distributed generation (DG) scenarios were proposed.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Vulnerability Analysis of Cyber-Physical Power Systems Considering Network Topology and Power Flow Properties

et al. 2017

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Conventional power systems are developing into cyber-physical power systems (CPPS) with wide applications of communication, computer and control technologies. However, multiple practical cases show that the failure of cyber layers is a major factor leading to blackouts. Therefore, it is necessary to discuss the cascading failure process considering cyber layer failures and analyze the vulnerability of CPPS. In this paper, a CPPS model, which consists of cyber layer, physical layer and cyber-physical interface, is presented using complex network theory. Considering power flow properties, the impacts of cyber node failures on the cascading failure propagation process are studied. Moreover, two vulnerability indices are established from the perspective of both network structure and power flow properties. A vulnerability analysis method is proposed, and the CPPS performance before and after cascading failures is analyzed by the proposed method to calculate vulnerability indices. In the case study, three typical scenarios are analyzed to illustrate the method, and vulnerabilities under different interface strategies and attack strategies are compared. Two thresholds are proposed to value the CPPS vulnerability roughly. The results show that CPPS is more vulnerable under malicious attacks and cyber nodes with high indices are vulnerable points which should be reinforced.

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Reliability Assessment of Smart Grids Considering Indirect Cyber-Power Interdependencies

Cited by 148 publications

References 18 publications

Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers

Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers

Framework of a benchmark testbed for power system cyber-physical reliability studies

Modeling and Vulnerability Analysis of Cyber-Physical Power Systems Considering Network Topology and Power Flow Properties

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