Dynamic equivalencing supported by load disaggregation via harmonic current analysis

Georgios A. Barzegkar-Ntovom; Theofilos A. Papadopoulos; Asthansios S. Pavlakis; Eleftherios O. Kontis; Mazheruddin H. Syed; Efren Guillo-Sansano; Graeme M. Burt

doi:10.1109/PowerTech46648.2021.9494892

Dynamic equivalencing supported by load disaggregation via harmonic current analysis

Georgios A. Barzegkar-Ntovom, Theofilos A. Papadopoulos, Asthansios S. Pavlakis, Eleftherios O. Kontis, Mazheruddin H. Syed, Efren Guillo-Sansano, Graeme M. Burt

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

60 Downloads (Pure)

Abstract

The time-varying composition of power system loads influences the robustness of measurement-based dynamic equivalent models, constituting them valid only for specific operating conditions. To overcome this issue, in this paper, a new generic dynamic equivalencing method, utilizing load disaggregation, is proposed. Load disaggregation by analyzing the aggregated harmonic current content is used to estimate the load composition of a distribution network, providing higher visibility and information regarding its operational condition. In this sense, representative sets of dynamic load model parameters are obtained for different loading conditions using a clustering algorithm. The accuracy and robustness of the proposed method is assessed using laboratory measurements.

Original language	English
Title of host publication	2021 IEEE Madrid PowerTech
Place of Publication	New York
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781665435970
ISBN (Print)	9781665411738
DOIs	https://doi.org/10.1109/PowerTech46648.2021.9494892
Publication status	Published - 29 Jul 2021
Event	PowerTech 2021: Power for the Sustainable Development Goals - Virtual, Madrid, Spain Duration: 28 Jun 2021 → 2 Jul 2021 https://www.powertech2021.com/

Conference

Conference	PowerTech 2021
Country/Territory	Spain
City	Madrid
Period	28/06/21 → 2/07/21
Internet address	https://www.powertech2021.com/

Keywords

clustering
dynamic modelling
harmonic analysis
load disaggregation
measurement-based approach

Access to Document

10.1109/PowerTech46648.2021.9494892

Barzegkar-Ntovom-IEEEPT-2021-Dynamic-equivalencing-supported-by-load-disaggregation-via-harmonic-current-analysisAccepted author manuscript, 793 KB

ERIGRID ll_ European Research Infrastructure supporting Smart Grid and Smart Energy Systems Research, Technology Development (H2020 INFRA IA)
Burt, G. (Principal Investigator), Abdulhadi, I. F. (Co-investigator), Coffele, F. (Co-investigator) & Syed, M. H. (Co-investigator)
European Commission - Horizon Europe + H2020
1/04/20 → 30/09/24
Project: Research

Dynamic Power Systems Laboratory
Burt, G. (Manager)
Electronic And Electrical Engineering
Facility/equipment: Facility

Cite this

@inproceedings{10cefea9503b4c4b9b8d5ed5403df922,

title = "Dynamic equivalencing supported by load disaggregation via harmonic current analysis",

abstract = "The time-varying composition of power system loads influences the robustness of measurement-based dynamic equivalent models, constituting them valid only for specific operating conditions. To overcome this issue, in this paper, a new generic dynamic equivalencing method, utilizing load disaggregation, is proposed. Load disaggregation by analyzing the aggregated harmonic current content is used to estimate the load composition of a distribution network, providing higher visibility and information regarding its operational condition. In this sense, representative sets of dynamic load model parameters are obtained for different loading conditions using a clustering algorithm. The accuracy and robustness of the proposed method is assessed using laboratory measurements. ",

keywords = "clustering, dynamic modelling, harmonic analysis, load disaggregation, measurement-based approach",

author = "Barzegkar-Ntovom, {Georgios A.} and Papadopoulos, {Theofilos A.} and Pavlakis, {Asthansios S.} and Kontis, {Eleftherios O.} and Syed, {Mazheruddin H.} and Efren Guillo-Sansano and Burt, {Graeme M.}",

note = "{\textcopyright} 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; PowerTech 2021 : Power for the Sustainable Development Goals ; Conference date: 28-06-2021 Through 02-07-2021",

year = "2021",

month = jul,

day = "29",

doi = "10.1109/PowerTech46648.2021.9494892",

language = "English",

isbn = "9781665411738",

booktitle = "2021 IEEE Madrid PowerTech",

publisher = "IEEE",

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T1 - Dynamic equivalencing supported by load disaggregation via harmonic current analysis

AU - Barzegkar-Ntovom, Georgios A.

AU - Papadopoulos, Theofilos A.

AU - Pavlakis, Asthansios S.

AU - Kontis, Eleftherios O.

AU - Syed, Mazheruddin H.

AU - Guillo-Sansano, Efren

AU - Burt, Graeme M.

N1 - © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2021/7/29

Y1 - 2021/7/29

N2 - The time-varying composition of power system loads influences the robustness of measurement-based dynamic equivalent models, constituting them valid only for specific operating conditions. To overcome this issue, in this paper, a new generic dynamic equivalencing method, utilizing load disaggregation, is proposed. Load disaggregation by analyzing the aggregated harmonic current content is used to estimate the load composition of a distribution network, providing higher visibility and information regarding its operational condition. In this sense, representative sets of dynamic load model parameters are obtained for different loading conditions using a clustering algorithm. The accuracy and robustness of the proposed method is assessed using laboratory measurements.

AB - The time-varying composition of power system loads influences the robustness of measurement-based dynamic equivalent models, constituting them valid only for specific operating conditions. To overcome this issue, in this paper, a new generic dynamic equivalencing method, utilizing load disaggregation, is proposed. Load disaggregation by analyzing the aggregated harmonic current content is used to estimate the load composition of a distribution network, providing higher visibility and information regarding its operational condition. In this sense, representative sets of dynamic load model parameters are obtained for different loading conditions using a clustering algorithm. The accuracy and robustness of the proposed method is assessed using laboratory measurements.

KW - clustering

KW - dynamic modelling

KW - harmonic analysis

KW - load disaggregation

KW - measurement-based approach

U2 - 10.1109/PowerTech46648.2021.9494892

DO - 10.1109/PowerTech46648.2021.9494892

M3 - Conference contribution book

SN - 9781665411738

BT - 2021 IEEE Madrid PowerTech

PB - IEEE

CY - New York

T2 - PowerTech 2021

Y2 - 28 June 2021 through 2 July 2021

ER -

Dynamic equivalencing supported by load disaggregation via harmonic current analysis

Abstract

Conference

Keywords

Access to Document

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Projects

ERIGRID ll_ European Research Infrastructure supporting Smart Grid and Smart Energy Systems Research, Technology Development (H2020 INFRA IA)

Equipment

Dynamic Power Systems Laboratory

Cite this