Automated integrated analysis of condition and capacity of low-voltage networks

Maikel Klerx; Jeroen van Tongeren; Johan Morren; Han Slootweg

doi:10.1109/PESGM41954.2020.9281792

Automated integrated analysis of condition and capacity of low-voltage networks

Maikel Klerx
, Jeroen van Tongeren
, Johan Morren
, Han Slootweg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Investigation of both capacity and quality of low-voltage networks is becoming more important. Previous research showed that condition assessment of low voltage (LV) grids is promising, but not sufficient yet to base asset management decisions on - due to limitations in data availability and quality and a low amount of failures. This paper presents a method which combines a condition assessment approach with a method to investigate the capacity of LV networks. The capacity method uses a bottom-up approach to predict if and when LV assets get overloaded. The combined approach ranks assets on the basis of expected condition and capacity bottlenecks. Results of a case study show among others an overlap of 45% of condition and capacity bottlenecks. It is proved that the presented combined approach is a useful, well-functioning and applicable approach for the asset management of LV distribution grids. This result follows up on and expands previous research.

Original language	English
Title of host publication	2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Publisher	IEEE Computer Society
Number of pages	5
ISBN (Electronic)	9781728155081
DOIs	https://doi.org/10.1109/PESGM41954.2020.9281792
Publication status	Published - 16 Dec 2020
Event	2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada Duration: 2 Aug 2020 → 6 Aug 2020

Conference

Conference	2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Country/Territory	Canada
City	Montreal
Period	2/08/20 → 6/08/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Asset management
Power distribution
Power system planning
Power system reliability
Preventive maintenance

Access to Document

10.1109/PESGM41954.2020.9281792

Cite this

@inproceedings{6eda1589f98c484c9467fbb1763151d2,

title = "Automated integrated analysis of condition and capacity of low-voltage networks",

abstract = "Investigation of both capacity and quality of low-voltage networks is becoming more important. Previous research showed that condition assessment of low voltage (LV) grids is promising, but not sufficient yet to base asset management decisions on - due to limitations in data availability and quality and a low amount of failures. This paper presents a method which combines a condition assessment approach with a method to investigate the capacity of LV networks. The capacity method uses a bottom-up approach to predict if and when LV assets get overloaded. The combined approach ranks assets on the basis of expected condition and capacity bottlenecks. Results of a case study show among others an overlap of 45\% of condition and capacity bottlenecks. It is proved that the presented combined approach is a useful, well-functioning and applicable approach for the asset management of LV distribution grids. This result follows up on and expands previous research. ",

keywords = "Asset management, Power distribution, Power system planning, Power system reliability, Preventive maintenance",

author = "Maikel Klerx and \{van Tongeren\}, Jeroen and Johan Morren and Han Slootweg",

year = "2020",

month = dec,

day = "16",

doi = "10.1109/PESGM41954.2020.9281792",

language = "English",

booktitle = "2020 IEEE Power and Energy Society General Meeting, PESGM 2020",

publisher = "IEEE Computer Society",

address = "United States",

note = "2020 IEEE Power and Energy Society General Meeting, PESGM 2020 ; Conference date: 02-08-2020 Through 06-08-2020",

}

Klerx, M, van Tongeren, J, Morren, J & Slootweg, H 2020, Automated integrated analysis of condition and capacity of low-voltage networks. in 2020 IEEE Power and Energy Society General Meeting, PESGM 2020., 9281792, IEEE Computer Society, 2020 IEEE Power and Energy Society General Meeting, PESGM 2020, Montreal, Canada, 2/08/20. https://doi.org/10.1109/PESGM41954.2020.9281792

TY - GEN

T1 - Automated integrated analysis of condition and capacity of low-voltage networks

AU - Klerx, Maikel

AU - van Tongeren, Jeroen

AU - Morren, Johan

AU - Slootweg, Han

PY - 2020/12/16

Y1 - 2020/12/16

N2 - Investigation of both capacity and quality of low-voltage networks is becoming more important. Previous research showed that condition assessment of low voltage (LV) grids is promising, but not sufficient yet to base asset management decisions on - due to limitations in data availability and quality and a low amount of failures. This paper presents a method which combines a condition assessment approach with a method to investigate the capacity of LV networks. The capacity method uses a bottom-up approach to predict if and when LV assets get overloaded. The combined approach ranks assets on the basis of expected condition and capacity bottlenecks. Results of a case study show among others an overlap of 45% of condition and capacity bottlenecks. It is proved that the presented combined approach is a useful, well-functioning and applicable approach for the asset management of LV distribution grids. This result follows up on and expands previous research.

AB - Investigation of both capacity and quality of low-voltage networks is becoming more important. Previous research showed that condition assessment of low voltage (LV) grids is promising, but not sufficient yet to base asset management decisions on - due to limitations in data availability and quality and a low amount of failures. This paper presents a method which combines a condition assessment approach with a method to investigate the capacity of LV networks. The capacity method uses a bottom-up approach to predict if and when LV assets get overloaded. The combined approach ranks assets on the basis of expected condition and capacity bottlenecks. Results of a case study show among others an overlap of 45% of condition and capacity bottlenecks. It is proved that the presented combined approach is a useful, well-functioning and applicable approach for the asset management of LV distribution grids. This result follows up on and expands previous research.

KW - Asset management

KW - Power distribution

KW - Power system planning

KW - Power system reliability

KW - Preventive maintenance

UR - https://www.scopus.com/pages/publications/85099163959

U2 - 10.1109/PESGM41954.2020.9281792

DO - 10.1109/PESGM41954.2020.9281792

M3 - Conference contribution

AN - SCOPUS:85099163959

BT - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020

PB - IEEE Computer Society

T2 - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020

Y2 - 2 August 2020 through 6 August 2020

ER -

Automated integrated analysis of condition and capacity of low-voltage networks

Abstract

Conference

UN SDGs

Keywords

Access to Document

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Cite this