Reduction of Topological Connectivity Information in Electric Power Grids

Alexander Prostejovsky; Oliver Gehrke; Mattia Marinelli; Mathias Uslar

doi:10.1109/UPEC.2016.8114117

Reduction of Topological Connectivity Information in Electric Power Grids

Alexander Prostejovsky, Oliver Gehrke, Mattia Marinelli, Mathias Uslar

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Electric power distribution grids increasingly use higher levels of monitoring and automation, both dependent on grid topology. However, the total amount of information to adequately describe power grids is vast and needs to be reduced when used locally. This work presents an approach for reducing and assembling power grid topologies in a decentralized way, such that full details of the local grid neighborhood are preserved, while remote areas get reduced in detail. Full connectivity information is retained. Practical evaluation is performed on a modified version of the 906-bus IEEE European low-voltage test feeder, augmented with additional lines which introduce loops. The resulting size is 0.067 % of the full matrix for a subarea size of 66 buses.

Original language	English
Title of host publication	2016 Proceedings of the 51st International Universities Power Engineering Conference.
Number of pages	6
Publisher	IEEE
Publication date	2016
ISBN (Print)	978-1-5090-4650-8
DOIs	https://doi.org/10.1109/UPEC.2016.8114117
Publication status	Published - 2016
Event	51st International Universities Power Engineering Conference - Coimbra, Portugal Duration: 6 Sep 2016 → 9 Sep 2016

Conference

Conference	51st International Universities Power Engineering Conference
Country/Territory	Portugal
City	Coimbra
Period	06/09/2016 → 09/09/2016

Keywords

Common Information Model
Information Management
Power System Operation
Smart grids
Topology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/UPEC.2016.8114117

PID4498225Accepted author manuscript, 361 KB

Cite this

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title = "Reduction of Topological Connectivity Information in Electric Power Grids",

abstract = "Electric power distribution grids increasingly use higher levels of monitoring and automation, both dependent on grid topology. However, the total amount of information to adequately describe power grids is vast and needs to be reduced when used locally. This work presents an approach for reducing and assembling power grid topologies in a decentralized way, such that full details of the local grid neighborhood are preserved, while remote areas get reduced in detail. Full connectivity information is retained. Practical evaluation is performed on a modified version of the 906-bus IEEE European low-voltage test feeder, augmented with additional lines which introduce loops. The resulting size is 0.067 % of the full matrix for a subarea size of 66 buses.",

keywords = "Common Information Model, Information Management, Power System Operation, Smart grids, Topology",

author = "Alexander Prostejovsky and Oliver Gehrke and Mattia Marinelli and Mathias Uslar",

year = "2016",

doi = "10.1109/UPEC.2016.8114117",

language = "English",

isbn = "978-1-5090-4650-8",

booktitle = "2016 Proceedings of the 51st International Universities Power Engineering Conference.",

publisher = "IEEE",

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note = "51st International Universities Power Engineering Conference, UPEC 2016 ; Conference date: 06-09-2016 Through 09-09-2016",

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T1 - Reduction of Topological Connectivity Information in Electric Power Grids

AU - Prostejovsky, Alexander

AU - Gehrke, Oliver

AU - Marinelli, Mattia

AU - Uslar, Mathias

PY - 2016

Y1 - 2016

N2 - Electric power distribution grids increasingly use higher levels of monitoring and automation, both dependent on grid topology. However, the total amount of information to adequately describe power grids is vast and needs to be reduced when used locally. This work presents an approach for reducing and assembling power grid topologies in a decentralized way, such that full details of the local grid neighborhood are preserved, while remote areas get reduced in detail. Full connectivity information is retained. Practical evaluation is performed on a modified version of the 906-bus IEEE European low-voltage test feeder, augmented with additional lines which introduce loops. The resulting size is 0.067 % of the full matrix for a subarea size of 66 buses.

AB - Electric power distribution grids increasingly use higher levels of monitoring and automation, both dependent on grid topology. However, the total amount of information to adequately describe power grids is vast and needs to be reduced when used locally. This work presents an approach for reducing and assembling power grid topologies in a decentralized way, such that full details of the local grid neighborhood are preserved, while remote areas get reduced in detail. Full connectivity information is retained. Practical evaluation is performed on a modified version of the 906-bus IEEE European low-voltage test feeder, augmented with additional lines which introduce loops. The resulting size is 0.067 % of the full matrix for a subarea size of 66 buses.

KW - Common Information Model

KW - Information Management

KW - Power System Operation

KW - Smart grids

KW - Topology

U2 - 10.1109/UPEC.2016.8114117

DO - 10.1109/UPEC.2016.8114117

M3 - Article in proceedings

SN - 978-1-5090-4650-8

BT - 2016 Proceedings of the 51st International Universities Power Engineering Conference.

PB - IEEE

T2 - 51st International Universities Power Engineering Conference

Y2 - 6 September 2016 through 9 September 2016

ER -

Reduction of Topological Connectivity Information in Electric Power Grids

Abstract

Conference

Keywords

UN SDGs

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