A Review of Agent and Service-Oriented Concepts Applied to Intelligent Energy Systems

Vrba, Pavel; Mařı́k, Vladimı́r; Siano, Pierluigi; Leitão, Paulo; Zhabelova, Gulnara; Vyatkin, Valeriy; Strasser, Thomas

doi:10.1109/tii.2014.2326411

Cited by 145 publications

(82 citation statements)

References 84 publications

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“…In order to cope with a huge amount of smart grid components, as mentioned above, distributed architectures and control approaches are in the focus of those activities [18,19,21,23]. For example, the European ELECTRA IRP focuses on a highly innovative cell-based operational approach [14].…”

Section: Distribution Grid Control Systems In International Research mentioning

confidence: 99%

“…Thus, an "Energy Internet" or "Internet of Energy" can be realized. Further interesting approaches focus on microgrid level where often multi-agent control solutions are being implemented [21]. Another remarkable project is IMC-AESOP which developed a cloud-based SCADA using web services which has been also applied to energy systems [5].…”

Section: Distribution Grid Control Systems In International Research mentioning

confidence: 99%

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Provisioning, deployment, and operation of smart grid applications on substation level

et al. 2016

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The transition of classical power distribution grids towards actively operated smart grids locates new functionality into intelligent secondary substations. Increased computational power and newly attained communication infrastructure in thousands of secondary substations allow for the distributed realization of sophisticated functions, which were inconceivable a few years ago. These novel functions (e.g., voltage and reactive power control, distributed generation optimization or decentralized market interaction) can primarily be realized by software components operated on powerful automation devices located on secondary substation level. is crucial and has a broad set of requirements. In this paper, we present a flexible and modular software ecosystem for automation devices of substations, which is able to handle these requirements. This ecosystem contains means for high performance data exchange and unification, automatic application provisioning and configuration functions, dependency management, and others. The application of the ecosystem is demonstrated in the context of a field operation example, which has been developed within an Austrian smart grid research project.

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Section: Distribution Grid Control Systems In International Research mentioning

confidence: 99%

Section: Distribution Grid Control Systems In International Research mentioning

confidence: 99%

Provisioning, deployment, and operation of smart grid applications on substation level

et al. 2016

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“…I NDUSTRIAL automation systems have been seriously influenced in the last decade by new information and communication technologies (ICT), such as multiagent systems (MAS) [1], service-oriented architecture (SOA) [2], cloud computing [3], and Internet-of-Things (IoT) [4]. The introduction of new ICT into automated manufacturing processes increases their abilities to adapt more intelligently to the changing conditions and requirements.…”

Section: Introductionmentioning

confidence: 99%

A Cloud-Based Decision Support System for Self-Healing in Distributed Automation Systems Using Fault Tree Analysis

Dai

Riliskis

Wang

et al. 2018

IEEE Trans. Ind. Inf.

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Abstract-Downtime is a key performance index for industrial automation systems. An industrial automation system achieves maximum productivity when its downtime is reduced to the minimum. One approach to minimize downtime is to predict system faults and recover from them automatically. A cloud-based decision support system is proposed for rapid problem identifications and to assist the self-management processes. By running multiple parallel simulations of control software with real-time inputs ahead of system time, faults could be detected and corrected automatically using autonomous industrial software agents. Fault trees, as well as control algorithms, are modeled using IEC 61499 function blocks that can be directly executed on both physical controllers and cloud services. A case study of water heating process is used to demonstrate the self-healing process supported by the cloud-based decision support system. Index Terms-Cloud-based decision support systems, distributed automation systems, faster-than-real-time simulation, fault tree analysis (FTA), IEC 61499 function blocks (FBs), programmable logic controllers, self-healing, supervisory control.

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“…Similarly, recent work has advocated resilient control systems [79,80] built upon open, distributed, and interoperable architectures [48,49,89] of the power grid as an integrated cyber-physical system. Multi-agent systems have often been proposed as a key-enabling technology for such a resilient control [14,58,77,92]. The most recent work in this regard is consonant with an enterprise control approach and suggests a hierarchy of agents that address power system management, coordination, and real-time execution control [79,80].…”

Section: Introduction: Resilience In Power System Coordination and Controlmentioning

confidence: 99%

“…Several recent reviews show that multi-agent systems research in the power systems domain is well-established [18,36,66,67,83,92]. While their original application was often for power system market simulation [85], they have also been used in the context of power system stability control [71].…”

Section: Introduction: Resilience In Power System Coordination and Controlmentioning

confidence: 99%

Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

Farid

2015

Intell Ind Syst

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Recently, the academic and industrial literature has coalesced around an enhanced vision of the electric power grid that is intelligent, responsive, dynamic, adaptive and flexible. One particularly emphasized "smart-grid" property is that of resilience where healthy regions of the grid continue to operate while disrupted and perturbed regions bring themselves back to normal operation. Multi-agent systems have recently been proposed as a key enabling technology for such a resilient control scheme. While the power system literature has often addressed multi-agent systems, many of these works did not have resilience as the central design intention. This paper now has a two-fold purpose. First, it seeks to identify a set of multi-agent system design principles for resilient coordination and control of future power systems. To that end, it draws upon an axiomatic design for large flexible engineering systems model which was recently used in the development of resilience measures. From this quantitative model, a set of design principles are easily distilled. Second, the paper assesses the adherence of existing multi-agent system implementations with respect to these design principles. The paper concludes that while many multi-agent systems have been developed for power grids, they have been primarily intended as the decentralization of a particular decision-making/control algorithm. Thus many of the works make only limited contributions to power grid resilience.B Amro M. Farid

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A Review of Agent and Service-Oriented Concepts Applied to Intelligent Energy Systems

Cited by 145 publications

References 84 publications

Provisioning, deployment, and operation of smart grid applications on substation level

Provisioning, deployment, and operation of smart grid applications on substation level

A Cloud-Based Decision Support System for Self-Healing in Distributed Automation Systems Using Fault Tree Analysis

Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

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