Reliability Assessment of Smart Grid Considering Direct Cyber-Power Interdependencies

Falahati, Bamdad; Yong, Fu; Wu, Lei

doi:10.1109/tsg.2012.2194520

Cited by 193 publications

(112 citation statements)

References 17 publications

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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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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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“…The topic of smart grid has attracted researchers to study various aspects of modernizing the electricity grid. The research community has been studying miscellaneous subjects such as communication technologies and infrastructure [3,6,7,8,9], legal and policy concerns [10,11], reliability, failure diagnosis and recovery [12,13,14], demandresponse, demand-dispatch, load shaping, and peak-shaving [15,16,17], data aggregation [3,18,19,20,21,22,23] and, last but not the least, security and privacy [4,5,3,24,25,26].…”

Section: Introductionmentioning

confidence: 99%

Towards Efficient Privacy Preserving Data Aggregation for Advanced Metering Infrastructure

Alamatsaz¹,

Boustani²,

Alamatsaz³

et al. 2017

IJCNC

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Recent changes to the existing power grid are expected to influence the way energy is pro-vided and consumed by customers. Advanced Metering Infrastructure (AMI) is a tool to incorporate these changes for modernizing the electricity grid. Growing energy needs are forcing government agencies and utility companies to move towards AMI systems as part of larger smart grid initiatives. The smart grid promises to enable a more reliable, sustainable, and efficient power grid by taking advantage of information and communication technologies. However, this information-based power grid can reveal sensitive private information from the user's perspective due to its ability to gather highly-granular power consumption data. This has resulted in limited consumer acceptance and proliferation of the smart grid. Hence, it is crucial to design a mechanism to prevent the leakage of such sensitive consumer usage information in smart grid. Among different solutions for preserving consumer privacy in Smart Grid Networks (SGN), private data aggregation techniques have received a tremendous focus from security researchers. Existing privacy-preserving aggregation mechanisms in SGNs utilize cryptographic techniques, specifically homomorphic properties of public-key cryptosystems. Such homomorphic approaches are bandwidth-intensive (due to large output blocks they generate), and in most cases, are computationally complex. In this paper, we present a novel and efficient CDMA-based approach to achieve privacy-preserving aggregation in SGNs by utilizing random perturbation of power consumption data and with limited use of traditional cryptography. We evaluate and validate the efficiency and performance of our proposed privacy-preserving data ag-gregation scheme through extensive statistical analyses and simulations.

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“…In addition, two critical characteristics of microgrid are integrated μSs and its autonomous control. Some publications were focusing on those two features [9,10], A more recent study attempted to investigate the quantitative impact of cyber network failures on microgrid reliability [11].…”

Section: Introductionmentioning

confidence: 99%

Reliability Evaluation of a Microgrid Considering Its Operating Condition

Xu¹,

Mitra²,

Wang³

et al. 2016

Journal of Electrical Engineering and Technology

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-Microgrids offer several reliability benefits, such as the improvement of load-point reliability and the opportunity for reliability-differentiated services. The primary goal of this work is to investigate the impacts of operating condition on the reliability index for microgrid system. It relies on a component failure rate model which quantifies the relationship between component failure rate and state variables. Some parameters involved are characterized by subjective uncertainty. Thus, fuzzy numbers are introduced to represent such parameters, and an optimization model based on Fuzzy Chance Constrained Programming (FCCP) is established for reliability index calculation. In addition, we present a hybrid algorithm which combines scenario enumeration and fuzzy simulation as a solution tool. The simulations in a microgrid test system show that reliability indices without considering operating condition can often prove to be optimistic. We also investigate two groups of situations, which include the different penetration levels of microsource and different confidence levels. The results support the necessity of considering operating condition for achieving accurate reliability evaluation.

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Reliability Assessment of Smart Grid Considering Direct Cyber-Power Interdependencies

Cited by 193 publications

References 17 publications

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

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

Towards Efficient Privacy Preserving Data Aggregation for Advanced Metering Infrastructure

Reliability Evaluation of a Microgrid Considering Its Operating Condition

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