Comparative analysis of services from soft open points using cost–benefit analysis

Matthew Deakin*, Ilias Sarantakos, David Greenwood, Janusz Bialek, Phil C. Taylor, Sara Walker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Soft Open Points (SOPs) are power electronic-based devices which can replace Normally Open Points (NOPs) in distribution networks. They can improve network performance by enabling controllable power transfer between adjacent feeders. This flexible meshing can provide a wide range of services, including loss reduction, reduced renewables curtailment, improved reliability, reinforcement deferral, or enabling flexibility services. This paper proposes a novel framework, based on the Cost–Benefit Analysis methodology, to quantify and compare the cost-effectiveness of SOPs for providing each of these five value streams. The framework includes the development of mathematical models that encapsulate the key variables that drive competitive SOP use cases, as well as providing detailed analysis to determine quantitative estimates for each of the parameters. Results suggest that, whilst all services could be cost-effective, that reinforcement deferral and reduced DG curtailment are most likely to find wide usage. It is also suggested that the fast response time of SOPs as compared to conventional NOPs is unlikely to be a viable value proposition for improving reliability via conventional loss of load metrics such as energy not supplied. A detailed case study demonstrates that in marginal cases, where a SOP has a similar system net benefit compared to Business-as-Usual, that all services need to be considered rather than just single value streams in isolation. It is concluded from the research that there are multiple potential competitive applications for SOPs in future distribution networks.

Original languageEnglish
Article number120618
Number of pages13
JournalApplied Energy
Volume333
Early online date4 Jan 2023
DOIs
Publication statusPublished - 1 Mar 2023

Bibliographical note

Funding Information:
The authors would like to thank Dr Meltem Peker Sarhan for helpful discussions on convex optimization. This project was funded by Supergen Energy Networks Hub (EPSRC grant no. EP/S00078X/1), Multi-energy Control of Cyber-Physical Urban Energy Systems (MC2, EP/T021969/1), and the Centre for Postdoctoral Development in Infrastructure, Cities and Energy (C-DICE) programme led by Loughborough University in partnership with Cranfield University and the University of Birmingham; C-DICE is funded by the Research England Development Fund.

Publisher Copyright:
© 2023 The Authors

Keywords

  • Cost–benefit analysis
  • Distribution network analysis
  • Power system planning
  • Soft open points

ASJC Scopus subject areas

  • Building and Construction
  • Renewable Energy, Sustainability and the Environment
  • Mechanical Engineering
  • General Energy
  • Management, Monitoring, Policy and Law

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