Resilient Distributed Energy Management Subject to Unexpected Misbehaving Generation Units

Zeng, Wente; Zhang, Yuan; Chow, Mo-Yuen

doi:10.1109/tii.2015.2496228

Cited by 74 publications

(20 citation statements)

References 26 publications

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“…Any successful attacks against industrial CPSs may cause the serious impact on the human society and national economy [139]. As such, the security of industrial CPSs to defend against these attacks is an urgent research concern [140]- [142]. It is worth mentioning that, compared with relatively mature techniques under traditional distributed frameworks, distributed control and filtering with security perspective still remain at an infant stage.…”

Section: Distributed Security Control and Filteringmentioning

confidence: 99%

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

Ding

Han

Wang

et al. 2019

IEEE Trans. Ind. Inf.

430

124

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Industrial cyber-physical systems (CPSs) are largescale, geographically dispersed and life-critical systems, in which lots of sensors and actuators are embedded and networked together to facilitate real-time monitoring and closed-loop control. Their intrinsic features in geographic space and resources put forward to urgent requirements of reliability and scalability for designed filtering or control schemes. This paper presents a review of the state-of-the-art of distributed filtering and control of industrial CPSs described by differential dynamics models. Special attention is paid to sensor networks, manipulators and power systems. For real-time monitoring, some typical Kalmanbased distributed algorithms are summarized and their performances on calculation burden, communication burden as well as scalability are discussed in depth. Then, the characteristics of non-Kalman cases are further disclosed in light of constructed filter structures. Furthermore, the latest development is surveyed for distributed cooperative control of mobile manipulators and distributed model predictive control in industrial automation systems. By resorting to droop characteristics, representative distributed control strategies classified by controller structures are systematically summarized for power systems with the requirements of power sharing, and voltage and frequency regulation. In addition, distributed security control of industrial CPSs is reviewed when cyber-attacks are taken into consideration. Finally, some challenges are raised to guide the future research. Index Terms-Industrial cyber-physical systems; distributed filtering; distributed control; power schedule; droop characteristics. I. INDUSTRIAL CYBER-PHYSICAL SYSTEMS A cyber-physical system (CPS), a fast-growing research area, is a highly integrated system of physical components involving sensors, actuators and various equipments, as well as cyber possessing ubiquitous computation and efficient communication. From the engineering point of view, CPSs are considered as the most promising industrial systems including transportation networks, energy systems, water/gas distribution networks, and unmanned factories. For example, multiple industrial robots with an inertial navigation device or various sensors are programmed for the movement along a programmed trajectory to cooperatively complete production tasks [1], [2]. The main advantage of these systems is that the tight

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Section: Distributed Security Control and Filteringmentioning

confidence: 99%

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

Ding

Han

Wang

et al. 2019

IEEE Trans. Ind. Inf.

430

124

View full text Add to dashboard Cite

show abstract

“…However, distributed computation can cause a large number of vulnerabilities to cyber-attacks (Duan et al, 2015). To tackle this issue, Duan et al (2016b) proposed a resilient distributed DC optimal power flow algorithm against data integrity attacks using a neighborhood monitoring scheme, and Zeng et al (2017) developed a neighborhood-watchbased distributed energy management algorithm with builtin resilient control design to maintain the system resilience. Stefanov and Liu (2014) identified the problem of cyberphysical system restoration after blackouts for the first time.…”

Section: Cyber-physical Systemsmentioning

confidence: 99%

System resilience enhancement: Smart grid and beyond

Huang¹,

Wang²,

Chen³

et al. 2017

Front. Eng

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Boosting the resilience of power systems is a core requirement of smart grids. In fact, resilience enhancement is crucial to all critical infrastructure systems. In this study, we review the current research on system resilience enhancement within and beyond smart grids. In addition, we elaborate on resilience definition and resilience quantification and discuss several challenges and opportunities for system resilience enhancement. This study aims to deepen our understanding of the concept of resilience and develop a wide perspective on enhancing the system resilience for critical infrastructures.

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“…Cyber-physical security is another concern in VPP systems [40]- [45]. One primary focus is on the vulnerabilities of conventional centralized control algorithms in smart grids [40]- [42].…”

Section: Introductionmentioning

confidence: 99%

“…One primary focus is on the vulnerabilities of conventional centralized control algorithms in smart grids [40]- [42]. With the increasing number of distributed energy resources integrated into the power system, researchers have progressed to the exploration of the robust distributed scheme against cyber-attacks [43]- [45]. However, the conventional aggregator in the VPP is still susceptible to malicious attacks, through which information can easily be tampered with.…”

Section: Introductionmentioning

confidence: 99%

AEBIS: AI-Enabled Blockchain-Based Electric Vehicle Integration System for Power Management in Smart Grid Platform

et al. 2020

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Resilient Distributed Energy Management Subject to Unexpected Misbehaving Generation Units

Cited by 74 publications

References 26 publications

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

System resilience enhancement: Smart grid and beyond

AEBIS: AI-Enabled Blockchain-Based Electric Vehicle Integration System for Power Management in Smart Grid Platform

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