Multi-Agent Systems in ICT Enabled Smart Grid: A Status Update on Technology Framework and Applications

Shawon, Mohammad Hasanuzzaman; Muyeen, S. M.; Ghosh, Arindam; Islam, Syed; Baptista, Murilo S.

doi:10.1109/access.2019.2929577

Cited by 33 publications

(8 citation statements)

References 125 publications

(89 reference statements)

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“…where 1) . e value of y j (k j l′ ) is able to be acquired from the received neighbours' information that is described in (10).…”

Section: Stability and Consensus Analysesmentioning

confidence: 99%

“…Currently, multiagent systems generally exchange data with each other over communication networks because of the advantages of networks in terms of flexibility and cost, which has led to the emergence of networked multiagent systems (NMASs). NMASs have been widely applied in many fields [1][2][3], and the coordinative control has been attracting increasing interest. e problem of consensus plays a key role in the research of coordination of NMASs.…”

Section: Introductionmentioning

confidence: 99%

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Event-Triggered-Based External Consensus Protocol of RBF-ARX-Model-Based Networked Multiagent Systems with Nonlinear Dynamics and Communication Delays

Luo

2021

Discrete Dynamics in Nature and Society

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An event-triggered-based external consensus control protocol with delay compensation for networked multiagent systems (NMASs) with nonlinear dynamics and network-induced delays is discussed in this paper. An RBF-ARX modelling method is adopted to approximate a nonlinear system. By utilizing the RBF-ARX model, the locally linearized time series model can be obtained to describe the behaviour of agents with nonlinear characteristics. An event-triggered control protocol with communication delay compensation is proposed to reduce the effects of network-induced delays and the times of the agent’s control update and communication between others by applying the idea of a prediction strategy. The event-triggered mechanism for each agent only depends on the deviation between its own output and the delay-compensated output of neighboring agents. Then, a distributed event-triggered-based and delay-compensated external consensus control protocol is given. Under this proposed control protocol, both the consensus and stability of the system can be proved. Finally, a numerical simulation is performed to verify the availability of our results.

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“…where 1) . e value of y j (k j l′ ) is able to be acquired from the received neighbours' information that is described in (10).…”

Section: Stability and Consensus Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Event-Triggered-Based External Consensus Protocol of RBF-ARX-Model-Based Networked Multiagent Systems with Nonlinear Dynamics and Communication Delays

Luo

2021

Discrete Dynamics in Nature and Society

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“…However, IEC 61850 and CIM define syntax and semantic of communication in the smart grid environment. In the interoperability point of view, we need to apply IoT protocols to satisfy the message content of those standards based on XML [94]. The smart grid communication architecture, which is shown in Figure 3, has three levels, i.e., HAN, FAN, and WAN that map to those standards and the MAS architecture in Figure 9.…”

Section: Iot Protocols Application Roadmap and Future Trends For Smart Gridmentioning

confidence: 99%

A Comprehensive Review on IoT Protocols’ Features in Smart Grid Communication

2020

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Since the smart grid deals with a large mass of data and critical missions, it requires ubiquitous, reliable, and real-time communication. The Internet of Things (IoT) technology, which has the potential of connecting all objects over the globe through the Internet, excels in providing robust information transmission infrastructure in the smart grid. There are a multitude of possible protocols, standards, and configurations for communication in the smart grid. A commonly applied communication standard IEC 61850 recommends the use of Manufacturing Message Specification (MMS) protocol for communication in Local Area Network (LAN) and eXtensible Messaging and Presence Protocol (XMPP) in Wide Area Network (WAN). However, a plethora of research on this topic compares the behavior of other IoT protocols and standard recommendations in the smart grid. On the other hand, the sky-rocketing penetration of Renewable Energy Sources (RES), especially in the form of micro grid, transformed the central control structure of the smart grid into a distributed style called Multi-Agent Systems (MAS). This new approach defined new communication requirements and more particular IoT protocol characteristic requirements. However, a limited number of the existing studies have considered IoT protocol characteristic requirements of the smart grid and its new control structures. In this paper, we initially investigate the communication requirements of the smart grid and introduce all IoT protocols and their specifications. We analyze IoT protocol characteristics and performances in the smart grid through literature review based on the smart grid communication requirements. In this approach, we highlight weak points of these practices making them fail to acquire the holistic guidelines in utilizing proper IoT protocol that can meet the smart grid environment interaction requirements. Using the existing facilities, the public Internet, we follow the arrangement of cost-effective high penetration communication requirements for new structures of the smart grid, i.e., the MAS and multi-micro grid. In this case, we consider IoT protocol Quality of Services (QoS) requirements, especially in the case of security and reliability, to satisfy stakeholders, namely utilities and prosumers. Addressing effective elements in applying IoT in the smart grid’s future trends is another contribution to this paper.

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“…The unified model should be flexible to apply in the different control structures of MG depending on the extent, application, and geographical location of MG. As discussed before, MG can be centralized or decentralized. One of the promising strategies in distributed control of MG is MAS, which facilitates control of MG and assists the SG concept approach in reality by accommodating self-healing characteristics for the power grid [7,[58][59][60][61]. In the MAS environment, every element of MG can interact and cooperate with other elements intelligently to achieve power system global objectives, as can be seen in Figure 4.…”

Section: Mgms Structure Developmentmentioning

confidence: 99%

A Survey on Enhanced Smart Micro-Grid Management System with Modern Wireless Technology Contribution

2020

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Micro-grid (MG) deployment has dramatically become more popular with the high penetration of renewable energy resources (RER). This trend brings with it the merits of independent power grid clean energy resource-based systems, and simultaneously the demerits of an unstable grid due to the intermittent nature of RER. Control and monitoring of MG through robust and ubiquitous communication system infrastructure is the solution to overcoming this intermittency. There has been an increasing focus in recent years on using wireless communication technologies as a prominent candidate in holistic proposal for the micro-grid management system (MGMS). The MGMS has been developed using the multi-agent system (MAS), multi-micro-grid (multi-MG), Internet of things (IoT) integration, and cloud concepts requiring new communication specifications, which can be satisfied by next-generation wireless technologies. There is, however, a lack of comprehensive corresponding investigation into management levels of MG interaction requirements and applied communication technologies, as well as a roadmap for wireless communication deployment, especially for the next generation. In this paper, we investigate communication technology applications in the MG and focus on their classification in a way that determines standard gaps when applying wireless for MG control levels. We also explore and categorize the literature that has applied wireless technologies to MG. Moreover, since MGMS has been revolutionized by attaching new technologies and applications to make it an active element of the power system, we address future trends for MGMS and offer a roadmap for applying new enhancements in wireless technologies, especially the fifth generation (5G) of wireless networks with its exclusive characteristics, to implement this novel approach.

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Multi-Agent Systems in ICT Enabled Smart Grid: A Status Update on Technology Framework and Applications

Cited by 33 publications

References 125 publications

Event-Triggered-Based External Consensus Protocol of RBF-ARX-Model-Based Networked Multiagent Systems with Nonlinear Dynamics and Communication Delays

Event-Triggered-Based External Consensus Protocol of RBF-ARX-Model-Based Networked Multiagent Systems with Nonlinear Dynamics and Communication Delays

A Comprehensive Review on IoT Protocols’ Features in Smart Grid Communication

A Survey on Enhanced Smart Micro-Grid Management System with Modern Wireless Technology Contribution

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