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Swarm-based automation of electrical power distribution and transmission system support

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IET Cyber-Physical Systems: Theory & Applications

The Institution of Engineering and Technology

power engineering computing, reactive power, smart power grids, centralised control, energy resources, power grids, power distribution control, power markets, distributed power generation, software agents, power system control, multi-agent systems, transmission system, distributed energy resources, distribution system, transmission systems, reactive power suppliers, flexible control approach, scalable control approach, classical centralised control, agent-based control concept, power requirements, control decisions, common system goal, information, power flow, cyber-physical power system, automate electrical power distribution

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      Abstract

      The increasing amount of distributed energy resources installed in distribution systems imposes new challenges on the operation and control of both distribution and transmission systems. At the same time, most distributed energy resources have the potential to support grid operation, e.g. as reactive power suppliers. To exploit these capabilities, a flexible and scalable control approach capable of dealing with large numbers of heterogeneous components is required. Many approaches are either distribution or transmission oriented and neglect the interests or constraints of the other side. Furthermore, the drawbacks of classical centralised control are often ignored. This study presents SwarmGrid-X, an agent-based control concept that considers the structure, demands and capabilities of components in the distribution system and the power requirements of the transmission system at the point of common coupling. Agents control components autonomously and determine control decisions in a decentralised way. They cooperate in swarms to achieve a common system goal while information and power flow are kept as local as possible. The cooperative nature of SwarmGrid-X transforms the distribution system into a cyber-physical power system. This study explains how SwarmGrid-X enables cyber-physical interactions of components to automate electrical power distribution and support the transmission system.

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      Most cited references 19

      • Record: found
      • Abstract: not found
      • Article: not found

      Smart Grids: A Cyber–Physical Systems Perspective

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        • Record: found
        • Abstract: not found
        • Article: not found

        Comprehensive Real-Time Microgrid Power Management and Control With Distributed Agents

         M. Nehrir,  C. Colson (2013)
          Bookmark
          • Record: found
          • Abstract: not found
          • Article: not found

          A Control Framework for the Smart Grid for Voltage Support Using Agent-Based Technologies

            Bookmark

            Author and article information

            Affiliations
            Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University , Mathieustraße 10, 52074 Aachen, Germany
            Contributors
            ORCID: 0000-0002-7146-3868
            Journal
            IET-CPS
            IET Cyber-Physical Systems: Theory & Applications
            IET Cyber-Phys. Syst., Theory Appl.
            The Institution of Engineering and Technology
            2398-3396
            2398-3396
            28 September 2018
            23 October 2018
            December 2018
            : 3
            : 4
            : 212-223
            10.1049/iet-cps.2018.5001
            IET-CPS.2018.5001 CPS.2018.5001.R1

            This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

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            Pages: 0
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            Funding
            Funded by: Bundesministerium für Bildung und Forschung
            Award ID: 03EK3568A
            Categories
            Special Issue: Cyber Physical Power Systems: Advanced Intelligent Technologies and Applications

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