Reliability Analysis for the Advanced Electric Power Grid: From Cyber Control and Communication to Physical Manifestations of Failure

Faza, Ayman; Sedigh, Sahra; McMillin, Bruce M.

doi:10.1007/978-3-642-04468-7_21

Cited by 19 publications

(6 citation statements)

References 12 publications

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“…(1) Physical factors (such as natural environment and intrinsic properties of device). These factors mainly reflect the impact of the physical properties, including the inherent failure frequency of devices, the deployment policy, and the location [17] .…”

Section: Dependability Impact Factorsmentioning

confidence: 99%

Electricity services based dependability model of power grid communication networking

Wang

Meng

Cao

et al. 2014

Tinshhua Sci. Technol.

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The technology of Ultra-High Voltage (UHV) transmission requires higher dependability for electric power grid. Power Grid Communication Networking (PGCN), the fundamental information infrastructure, severs data transmission including control signal, protection signal, and common data services. Dependability is the necessary requirement to ensure services timely and accurately. Dependability analysis aims to predicate operation status and provide suitable strategies getting rid of the potential dangers. Due to the dependability of PGCN may be affected by external environment, devices quality, implementation strategies, and so on, the scale explosion and the structure complexity make the PGCN's dependability much challenging. In this paper, with the observation of interdependency between power grid and PGCN, we propose an electricity services based dependability analysis model of PGCN. The model includes methods of analyzing its dependability and procedures of designing the dependable strategies. We respectively discuss the deterministic analysis method based on matrix analysis and stochastic analysis model based on stochastic Petri nets.

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Section: Dependability Impact Factorsmentioning

confidence: 99%

Electricity services based dependability model of power grid communication networking

Wang

Meng

Cao

et al. 2014

Tinshhua Sci. Technol.

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“…the control decision made is locally legitimate. However, this control decision may lead to overload of other lines and can cause cascading failures [16], bringing down the entire system.…”

Section: Cyber-physical Systemsmentioning

confidence: 99%

“…Failures (whether accidental or induced) in the hardware or software of the cyberinfrastructure can have far-reaching e®ects, as the same information°ow that provides a global view of the system to local decision support entities can cause errors to propagate. The°ow of``contaminated" information through the system can cause cascading failures [16].…”

Section: Cyber-physical Systemsmentioning

confidence: 99%

High Consequence Systems and Semantic Computing

Winter

Čukić

Khoshgoftaar

et al. 2013

Int. J. Semantic Computing

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Socioeconomic needs combined with technological advances are creating a demand for an increasing number of systems for which high-assurance is an essential attribute. These system designs, which increasingly include semantic computing components, span a broad spectrum of applications. They are incredibly diverse and their complexity is growing. The conditions under which these systems operate are such that system faults will occur and must be comprehensively accounted for in the systems' designs.This article investigates the landscape of high-assurance systems, the challenges these systems face, and what must be done to address those challenges. Challenges include societal needs, scienti¯c frontiers, dynamics of technological evolution, and drivers of current research models.gathering Google Chairman Eric Schmidt said``We need to set out an agenda for innovation for our country as a whole" [14].In the book Engines of Innovation it is argued that research universities must step up and play a more central role in tackling``the world's biggest problems" [63]. The core of such innovation often rests on the successful leveraging of computer and information technology within the context of a larger system. We postulate that, in the years to come, semantic computing will provide an essential fulcrum in many such systems. Independent of the underlying technologies employed, the implications of technological dependence are enormous: In their 2010 report, the President's Council of Advisors on Science and Technology (PCAST) stated that Networking and Information Technology (NIT)``underpins our national prosperity, health, and security". It should not be surprising then that the new millennium has seen a distinct shift of academic missions in the direction of interdisciplinary and applied use of computer technology in a shift which is often referred to as translational science.It is the context of leveraging computer technology to solve``the world's biggest problems" that has led innovators to envision and develop a wide range of highconsequence systems. A classical de¯nition of a high-consequence system is a system in which a high``cost" (or consequence) is associated with failure. Here the cost metric is not limited to the monetary axis, but can range across any axis of social value such as human life, or national security. From this de¯nition, it can be argued that the terms``world's biggest problems" and``high-consequence problems" are practically synonymous. The corollary to this argument is that one can then expect solutions to the world's biggest problems to be realized though innovative highconsequence systems. It is worth noting that these system designs are extremely diverse: they include autonomous decentralized control systems such as the system used to control Japan's bullet train, marine renewable energy systems such as those being developed o® the Florida coast, medical systems permitting the sharing of clinical guidelines and synthesis of clinical work°ows and protocols, supervisory control and acquisition (...

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“…However, to the best of our knowledge, no systematic approach has been developed to model, evaluate, and tune the dependability characteristics of these systems. Faza et al performed reliability evaluation of a power grid system using reliability equations. The focus of that work was to analyze distinct failure modes in the cyber part of the network and its impact on the physical part of the system.…”

Section: Introductionmentioning

confidence: 99%

Dependability analysis of a cyber‐physical system for smart environments

Andrade

Nogueira

Callou

et al. 2018

Concurrency and Computation

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Cyber-Physical Systems (CPSs) represent a new generation of smart systems that orchestrates physical elements with computation. This new class of system is intelligent and connected and is changing the way people deal with engineered systems, just as the Internet transformed the way people interact with information. Although several works have been proposed to support the design and development of CPSs, dependability evaluation of these systems have been investigated little. Dependability assessment (eg, reliability and availability) of cyber-physical systems is of great importance as, very often, they are deployed in safety or business-critical contexts. This paper presents a strategy based on Stochastic Petri Nets (SPNs) for dependability modeling, evaluation, and tuning of smart CPSs. The tuning is carried out through sensitivity analysis on the SPN models to efficiently identify the system components that most impact on the system's overall availability. The feasibility of our approach is demonstrated by evaluating a smart CPS deployed in a water treatment plant. Experimental results revealed that the proposed strategy helps highlight which components require attention when attempting to achieve high availability, and by adding redundancy to these components, the downtime of adopted CPS was reduced drastically from half a day to only 8 minutes. KEYWORDScyber-physical systems, dependability, SPNs, water treatment plant INTRODUCTIONJust as the Internet changed the way people deal with information, Cyber-Physical Systems (CPSs) are transforming the way people interact with engineered systems. These systems combine cyber elements (eg, sensing, actuating, cloud, and networking) with physical elements (like humans, infrastructure, and physical objects) towards a set of common goals. 1,2 CPSs are found in critical infrastructures like transportation networks, nuclear power generation, smart grid, medical devices, water distribution networks, and others. These systems include smart network that sense and interact with the physical world and support real-time, dependable, and efficient operations.System dependability is a fundamental property to be evaluated in CPSs. A dependable CPS ensures that a system functions correctly even in situations in which the system components have failed, either temporarily or permanently. 3 Besides, most of these CPS are mission-critical systems, so that their availability, reliability, and correct operation are essential. An unreliable system often leads to disruption of service, financial cost, and even loss of human life. Therefore, efficient and accurate assessment of these mission-critical CPSs is fundamental to guarantee business operation and to avoid social and economical risks.Several works have been proposed in the literature for supporting the design and development of CPSs. 4-6 However, to the best of our knowledge, no systematic approach has been developed to model, evaluate, and tune the dependability characteristics of these systems. Faza et al 7 performed reliability ev...

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Reliability Analysis for the Advanced Electric Power Grid: From Cyber Control and Communication to Physical Manifestations of Failure

Cited by 19 publications

References 12 publications

Electricity services based dependability model of power grid communication networking

Electricity services based dependability model of power grid communication networking

High Consequence Systems and Semantic Computing

Dependability analysis of a cyber‐physical system for smart environments

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