Process data comparison for topology inference

Honeth, Nicholas; Saleem, Arshad; Nordström, Lars

doi:10.1109/pesgm.2012.6345648

Cited by 3 publications

(3 citation statements)

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“…This paper provides a discussion of work previously presented in [3] and, building on the proof-of-concept results from [4], aims to provide a concise coverage of previous and as well as a short analysis and discussion of the scalability of the topology inference concept. For a detailed specification of the algorithms implementing the methodology the reader is referred to [3] whereas [4] provides an in-depth discussion on the aspects concerning process measurement and data handling.…”

Section: Scope and Limitationsmentioning

confidence: 99%

“…Various strategies could be considered to minimise this factor. The expanding geographical radius of other stations queried is the approach proposed in [3] [4]. Figure 3 illustrates how the choice of the rate of increase of this geographical radius becomes importance when trying to limit the rate of increase of substation agents to query in large systems.…”

Section: Scalability For Plug-and-play Topology Inferencementioning

confidence: 99%

“…An empirical study using the prototype implementation from [4] integrated with a simple electrical process simulation for varying values of N and M would provide a sound empirical basis for the conclusions of the analysis above. Such and empirical analysis would be the next step on the track discussed in this paper.…”

Section: Future Workmentioning

confidence: 99%

See 2 more Smart Citations

A conceptual study of systems architecture for decentralised topology inference of distribution networks

Honeth¹,

Saleem²,

Nordström³

2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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Power system operation and control relies heavily on models for decision making. Determining the topology of electrical distribution networks is a critical part of producing these models and maintaining up-to-date topologies is a resource consuming and challenging task. This paper provides a conceptual study of a methodology and supporting system architecture for real time inference of electrical topology using process and model data from IEC 61850 compliant substation automation devices .The conceptual study aims to provide a discussion of the performance and scalability of such systems based on an analysis scenario. The decentralized topology inference system concept forms the basis for future work in operation and management of active distribution networks accommodating larger integration of distributed energy sources of intermittent nature.

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