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

      , ,

      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
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          Smart Grids: A Cyber–Physical Systems Perspective

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            • Record: found
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            • 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
                IET-CPS.2018.5001 CPS.2018.5001.R1
                10.1049/iet-cps.2018.5001

                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
                Product
                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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