Foundations of Infrastructure-CPS

Annaswamy, Anuradha M.; Hussain, Alefiya; Chakrabortty, Aranya; Cvetković, Dragoš

doi:10.1109/acc.2016.7525316

Cited by 9 publications

(3 citation statements)

References 51 publications

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“…The results above as well as those reported in [61] show that steps can be taken to assess and mitigate anomalous behavior that may occur in the presence of some of these attacks. Much more effort needs to be expended in this direction, which concerns cyber-physical security of smart infrastructures, which is very much at an early stage of research.…”

Section: Experiments 3: Non-uniform Lmentioning

confidence: 63%

Emerging research topics in control for smart infrastructures

Annaswamy

Malekpour

Baros

2016

Annual Reviews in Control

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As we move deeper into the 21st century, critical infrastructures related to energy and transportation are becoming smart-monitor themselves, communicate, and most importantly self-govern. Various drivers have enabled this transition, including sustainability concerns, scarcity in resources, economic considerations, and rapid growth in enabling technologies of sensor networks, and computational and communication systems. Two notable examples of such infrastructures are smart grid and smart cities. The idea behind a Smart Grid is the creation of a dynamic, cyber-physical infrastructure that meets the challenges of intermittency and distributed availability of renewables, and realizes reduced operational costs and emissions, via a flexible, intelligent, and networked grid that plans, controls, and balances supply and demand over an entire region. The concept of a Smart City is gaining popular attention driven by goals of sustainability and efficiency, the needs of enhancing quality of life and affordability, growing urbanization of the world's population, and the explosion of technological advances in communication and computation. While systems and control problems abound in any complex dynamic system, two characteristics that are specific to critical infrastructures are the need to deliver reliable service and the ability to accomplish this goal amidst constrained

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Section: Experiments 3: Non-uniform Lmentioning

confidence: 63%

Emerging research topics in control for smart infrastructures

Annaswamy

Malekpour

Baros

2016

Annual Reviews in Control

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“…A distributed framework of a network control system was provided in [110] for the wide-area measurement application of CPPS, as shown in Fig. 14.…”

Section: Network Control System Approachmentioning

confidence: 99%

A Survey of Cyber-Physical Power System Modeling Methods for Future Energy Systems

2022

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The grid of the future will have a higher penetration of grid edge devices that enable increased automation and grid edge intelligence. The current grid models do not account for these gridedge devices, and the creation of cyber-physical models for the grid is essential to understand the impact of these devices. Although existing cyber-physical power system (CPPS) models have been developed using a wide variety of approaches, a comprehensive review of the validity of these approaches and their suitability for modeling the future grid has not been performed. In a CPPS, the physical layer usually consists of the power grid and protection devices, whereas the cyber layer consists of communication, computation, and control components. This paper provides a review on the existing approaches to model CPPS and to characterize the inter-and intra-actions for distributed autonomous systems. The CPPS models can then be used to perform various analyses, such as cyberattack analysis, threat analysis, and resilience analysis. A qualitative evaluation criteria for the various modeling paradigm is discussed to help researchers understand the trade-offs in choosing the right modeling method for their particular application.INDEX TERMS Cyber-physical power systems (CPPS), cybersecurity, finite state machines, graph network, modeling techniques, system and control method, test beds. I. INTRODUCTIONP OWER grid modernization has gained significant momentum in the last decade. As part of the modernization, advanced communication and automation technologies are being deployed in power systems, and the resulting systems are known as cyber-physical power systems (CPPS), which consist of physical (the power grid) and cyber (e.g., communication and computation systems) layers [1]. CPPS leverage two-way cyber-secure communication systems to improve the monitoring, protection, and control of power system components to achieve a smart grid concept with enhanced reliability, resilience, security, and sustainability [2], [3]. Although advanced technologies in the cyber layer improve the operation and control of power systems, they can expose power systems to multiple types of cyber and cyber-physical attacks [4], [5]. The increase of cyber threats can jeopardize the power system's ability to provide reliable and efficient power supply [6]; therefore, accurate and detailed modeling of CPPS and the dependencies between the physical and cyber systems in a CPPS is a necessary step toward the analysis, evaluation, and enhancement of the CPPS's reliability and resilience. A. RELATED WORKExtensive reviews on cyber-physical systems (CPS)-in particular, CPPS-modeling, analyses, evaluations and enhancement methods have been conducted [7]- [10]. The authors of [7] provided a review on the architectural model-

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“…It is noted that since the indices of generators associated with any controller  are not fixed a-priori due to the unpredictable nature of disturbances, it is not advisable to install  at any fixed generator site, but rather in a shared computational platform such as a cloud network (Annaswamy, Hussain, Chakrabortty, & Cvetkovic, 2016). Controller implementation is explained in the following.…”

Section: Cyber-physical Architecturementioning

confidence: 99%

Distributed wide-area control of power system oscillations under communication and actuation constraints

Jain

Chakrabortty

Bıyık

2018

Control Engineering Practice

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In this paper a distributed Model Predictive Control design is presented for inter-area oscillation damping in power systems under two critical cyber-physical constraints-namely, communication constraints that lead to sparsification of the underlying communication network, and actuation constraints that respect the saturation limits of generator controllers. In the current state-of-art, distributed controllers in power systems are executed over fixed communication topologies that are most often agnostic of the magnitude and location of the incoming disturbance signals. This often leads to a sub-optimal closed-loop performance. In contrast, the communication topology for the proposed controller is selected in real-time after a disturbance event based on event-specific correlations of the generator states with the dominant oscillation modes that are excited by that event. Since these correlations can differ from one event to another, so can the choice of the communication topology. These correlations are used to identify the most important sets of generators that must exchange state information for enhancing closed-loop damping of the inter-area modal frequencies. Effectiveness of this strategy is shown via simulations on the 48-machine, 140-bus model for the Northeast Power Coordinating Council.

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Foundations of Infrastructure-CPS

Cited by 9 publications

References 51 publications

Emerging research topics in control for smart infrastructures

Emerging research topics in control for smart infrastructures

A Survey of Cyber-Physical Power System Modeling Methods for Future Energy Systems

Distributed wide-area control of power system oscillations under communication and actuation constraints

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