Simulation approach to reliability analysis of WAMPAC system

Yan, Zhang; Larsson, Mats; Pal, Bikash; Thornhill, Nina F.

doi:10.1109/isgt.2015.7131814

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…The scenarios analyzed show that WAMS network failures, although unlikely, may bring the system to an unobservable state and cause severe cascading events. A Monte Carlo approach is also used in [5], where a wide area monitoring, protection and control (WAMPAC) system is divided into four subsystems: measurement inputs, communication, actuator and analytic execution, and the influence of different components on the overall system reliability is assessed through sensitivity analysis. Zhu et al in [6] address the dependency of Wide Area Monitoring and Control (WAMC) systems on their supporting ICT architecture.…”

Section: A Related Workmentioning

confidence: 99%

Effect of Communication Failures on State Estimation of 5G-Enabled Smart Grid

2020

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Information and Communication Technologies (ICT), Wide Area Measurement Systems (WAMS) and state estimation represent the key-tools for achieving a reliable and accurate knowledge of the power grid, and represent the foundation of an information-based operation of Smart Grids. Nevertheless, ICT brings new potential vulnerabilities within the power grid operation, that need to be evaluated. The strong interdependence between power system and ICT systems requires new methodologies for modeling the smart grid as a Cyber Physical System (CPS), and finally analyzing the impact of ICT failures on the power grid operation. This paper proposes a novel methodological approach that combines Stochastic Activity Networks (SAN) modeling and numerical computation for dependability analysis of a 5G-based WAMS. Internal influences such as component failures and external influences such as rain effect are considered, and the impact of these failures are assessed over the WAMS capability to provide reliable data for performing an accurate power network state estimation. Different state estimation approaches (traditional SCADA and PMUbased algorithms) and weather conditions are compared in terms of mean states estimation error and safety. The results highlight that 5G based WAMS result in a close-to-ideal behavior which enforces the prospect of a future adoption for smart grid monitoring applications.

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Section: A Related Workmentioning

confidence: 99%

Effect of Communication Failures on State Estimation of 5G-Enabled Smart Grid

2020

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“…Fiber optic cables are the backbone of the network, but copper wires, radio waves, and microwaves together with a power line carrier (PLC) may also be applied [24].…”

Section: Wams Structure and Its Communication Routesmentioning

confidence: 99%

Reduction of PMUs via hybrid PMU-RTU communication changeover in the case of cyberattack on vulnerable power transmission lines

Fardad¹,

Soleymani²,

Faghihi³

2018

Turk J Elec Eng & Comp Sci

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A power grid strictly depends on information and communication technology. The key role of real-time measurement and information control for the reliable operation of a power grid is the responsibility of the phase measurement units (PMUs). As smart power grids encounter a variety of unauthorized malicious accesses such as cyberattacks, PMU placement is an important problem. In this study, a new algorithm was proposed to specify the minimum number of PMUs in the case of cyberattacks on their communication lines and equipment. In order to analyze complete observability of the distribution system, a range of probable contingencies for the vulnerable lines of a typical power system was discussed. The proposed algorithm implementation shows that the number of required PMUs can be reduced by removing irrelevant information through cyberattack circumstance intervals by using communication equipment potential.

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“…A model to assess the reliability of smart distribution network considering the reliability of its interconnected ICT infrastructure is proposed in [10]; this model, however, is incapable of quantifying the effect of latency (as stressed in [11]) when rerouting of data is considered. Other widely accepted techniques to analyze the direct cyber-to-power impact on system reliability include Markovian model [12], Reliability Block Diagram (RBD) [13,14], fault-tree analysis [15], failure propagations studies [16], state-mapping techniques [17], and simulation approaches [18][19][20]. Nevertheless, these techniques require exhaustive computational effort, and the computational time grows exponentially with the size of the system being examined [21].…”

Section: Introductionmentioning

confidence: 99%

Methodology for Reliability Assessment of Smart Grid Considering Risk of Failure of Communication Architecture

Zhu

Han

Milanović

et al. 2020

IEEE Trans. Smart Grid

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This paper introduces an analytical method, based on the Complex Network Theory (CNT), to assess the risk of the Smart Grid failure due to communication network malfunction, associated with latency and ICT network reliability. Firstly, the communication architecture is modelled using a two-step CNT frameworkan Operation Graph (OG) in step one and a Reliability Graph (RG) in step two. Secondly, the latency of data packets and the reliability of each communication device are incorporated into the model to identify the reliability of all operational communication paths for successful power system control purposes. Then, the risk of Smart Grid failure due to the communication network malfunction is quantified using a System Reliability Index (SRI). Next, sensitivity analysis is performed to assess the importance of each communication network component using two innovative Importance Measures (IM), namely System Reliability Advancement Worth (SRAW) and System Reliability Deterioration Worth (SRDW). Finally, the proposed approach is demonstrated on a laboratory-scale communication network.

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Simulation approach to reliability analysis of WAMPAC system

Cited by 6 publications

References 11 publications

Effect of Communication Failures on State Estimation of 5G-Enabled Smart Grid

Effect of Communication Failures on State Estimation of 5G-Enabled Smart Grid

Reduction of PMUs via hybrid PMU-RTU communication changeover in the case of cyberattack on vulnerable power transmission lines

Methodology for Reliability Assessment of Smart Grid Considering Risk of Failure of Communication Architecture

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