Thesis

Design, development and demonstration of an active network management testbed

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Awarding institution
  • University of Strathclyde
Date of award
  • 2015
Thesis identifier
  • T14130
Person Identifier (Local)
  • 201284482
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Abstract
  • The push to accommodate Distributed Generation (DG) has led to the requirement of better investing in the planning and operation of power networks. Geographically, in the UK, the most suitable areas of Distributed Generation typically exist in locations not previously designed for larger or reverse power flows. This leads to the need to costly and timely upgrades the physical infrastructure. Active Network Management (ANM) has been presented as a method of controlling existing assets in a real-time deterministic manner to allow it to operate closer to its limits thus deferring or avoiding investment. Active Network Management makes use of real time measurements to control generation or load to ensure the network remains within a set of safe, pre-defined limits, allowing network design rules to be relaxed. Introducing new control techniques to power networks has a number of challenges. One such challenge is the time taken for utilities to adopt the technology and sufficient testing platforms to ensure safe and reliable operation. A current deployment, as implemented by Smarter Grid Solutions Ltd., took over 5 years to reach closed loop control. An area of research intended to speed up time to adoption and advance testing, amongst other objectives, is co-simulation: the real-time dynamic simulation of both the power system, the devices connected to it; and the communications infrastructure required for ANM. This thesis describes work undertaken as part of a Knowledge Transfer Partnership between University of Strathclyde and Smarter Grid Solutions Ltd, which has resulted in the design, development and demonstration of a prototype testbed for ANM which utilises co-simulation. Challenges and opportunities for further research into co-simulation for ANM have also been identified.
Resource Type
DOI
Date Created
  • 2015
Former identifier
  • 1237801

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