Appliance-based residential harmonic load modelling

G. Ye; M. Nijhuis; V. Cuk; J.F.G. Cobben

doi:10.1109/PTC.2017.7981039

Appliance-based residential harmonic load modelling

G. Ye, M. Nijhuis, V. Cuk, J.F.G. Cobben

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

10 Citations (Scopus)

Abstract

An adequate modelling of the harmonic load is required to analyse the harmonic impact and perform propagation studies. Since more and more nonlinear loads are connected with the network, such as energy saving lamps, electric vehicles, photovoltaics systems etc., the accurate modelling of the harmonic injection of new appliances becomes more important. In this paper, a bottom-up stochastic model is proposed for the modelling of harmonic loads in residential networks. First a Markov Chain Monte Carlo approach is employed for household occupancy modelling with time use survey database. The occupancy, weather conditions, neighbourhood features and behavioural survey data are subsequently applied to obtain loading patterns of the household appliances. The harmonic spectra of various appliances are established based on measurements. Based on these, a harmonic load flow can be run to calculate the harmonic load of each household. Measurements of harmonic magnitude carried out in a residential low voltage network in the Netherlands are used to validate the proposed approach.

Original language	English
Title of host publication	12th IEEE PES PowerTech conference, 18-22 June 2017, Manchester, United Kingdom
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
ISBN (Electronic)	978-1-5090-4237-1
ISBN (Print)	978-1-5090-4238-8
DOIs	https://doi.org/10.1109/PTC.2017.7981039
Publication status	Published - 18 Jun 2017
Event	2017 IEEE PowerTech Manchester - University of Manchester, Manchester, United Kingdom Duration: 18 Jun 2017 → 22 Jun 2017 Conference number: 12 http://ieee-powertech.org/

Conference

Conference	2017 IEEE PowerTech Manchester
Abbreviated title	PowerTech 2017
Country/Territory	United Kingdom
City	Manchester
Period	18/06/17 → 22/06/17
Other	Towards and Beyond Sustainable Energy Systems
Internet address	http://ieee-powertech.org/

Keywords

Harmonic load model
harmonic measurements
residential network
statistical analysis

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10.1109/PTC.2017.7981039

Cite this

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title = "Appliance-based residential harmonic load modelling",

abstract = "An adequate modelling of the harmonic load is required to analyse the harmonic impact and perform propagation studies. Since more and more nonlinear loads are connected with the network, such as energy saving lamps, electric vehicles, photovoltaics systems etc., the accurate modelling of the harmonic injection of new appliances becomes more important. In this paper, a bottom-up stochastic model is proposed for the modelling of harmonic loads in residential networks. First a Markov Chain Monte Carlo approach is employed for household occupancy modelling with time use survey database. The occupancy, weather conditions, neighbourhood features and behavioural survey data are subsequently applied to obtain loading patterns of the household appliances. The harmonic spectra of various appliances are established based on measurements. Based on these, a harmonic load flow can be run to calculate the harmonic load of each household. Measurements of harmonic magnitude carried out in a residential low voltage network in the Netherlands are used to validate the proposed approach.",

keywords = "Harmonic load model, harmonic measurements, residential network, statistical analysis",

author = "G. Ye and M. Nijhuis and V. Cuk and J.F.G. Cobben",

year = "2017",

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doi = "10.1109/PTC.2017.7981039",

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pages = "1--6",

booktitle = "12th IEEE PES PowerTech conference, 18-22 June 2017, Manchester, United Kingdom",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2017 IEEE PowerTech Manchester, PowerTech 2017 ; Conference date: 18-06-2017 Through 22-06-2017",

url = "http://ieee-powertech.org/",

}

Ye, G, Nijhuis, M, Cuk, V & Cobben, JFG 2017, Appliance-based residential harmonic load modelling. in 12th IEEE PES PowerTech conference, 18-22 June 2017, Manchester, United Kingdom., 7981039, Institute of Electrical and Electronics Engineers, Piscataway, pp. 1-6, 2017 IEEE PowerTech Manchester, Manchester, United Kingdom, 18/06/17. https://doi.org/10.1109/PTC.2017.7981039

Appliance-based residential harmonic load modelling. / Ye, G.; Nijhuis, M.; Cuk, V. et al.
12th IEEE PES PowerTech conference, 18-22 June 2017, Manchester, United Kingdom. Piscataway: Institute of Electrical and Electronics Engineers, 2017. p. 1-6 7981039.

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

TY - GEN

T1 - Appliance-based residential harmonic load modelling

AU - Ye, G.

AU - Nijhuis, M.

AU - Cuk, V.

AU - Cobben, J.F.G.

N1 - Conference code: 12

PY - 2017/6/18

Y1 - 2017/6/18

N2 - An adequate modelling of the harmonic load is required to analyse the harmonic impact and perform propagation studies. Since more and more nonlinear loads are connected with the network, such as energy saving lamps, electric vehicles, photovoltaics systems etc., the accurate modelling of the harmonic injection of new appliances becomes more important. In this paper, a bottom-up stochastic model is proposed for the modelling of harmonic loads in residential networks. First a Markov Chain Monte Carlo approach is employed for household occupancy modelling with time use survey database. The occupancy, weather conditions, neighbourhood features and behavioural survey data are subsequently applied to obtain loading patterns of the household appliances. The harmonic spectra of various appliances are established based on measurements. Based on these, a harmonic load flow can be run to calculate the harmonic load of each household. Measurements of harmonic magnitude carried out in a residential low voltage network in the Netherlands are used to validate the proposed approach.

AB - An adequate modelling of the harmonic load is required to analyse the harmonic impact and perform propagation studies. Since more and more nonlinear loads are connected with the network, such as energy saving lamps, electric vehicles, photovoltaics systems etc., the accurate modelling of the harmonic injection of new appliances becomes more important. In this paper, a bottom-up stochastic model is proposed for the modelling of harmonic loads in residential networks. First a Markov Chain Monte Carlo approach is employed for household occupancy modelling with time use survey database. The occupancy, weather conditions, neighbourhood features and behavioural survey data are subsequently applied to obtain loading patterns of the household appliances. The harmonic spectra of various appliances are established based on measurements. Based on these, a harmonic load flow can be run to calculate the harmonic load of each household. Measurements of harmonic magnitude carried out in a residential low voltage network in the Netherlands are used to validate the proposed approach.

KW - Harmonic load model

KW - harmonic measurements

KW - residential network

KW - statistical analysis

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DO - 10.1109/PTC.2017.7981039

M3 - Conference contribution

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EP - 6

BT - 12th IEEE PES PowerTech conference, 18-22 June 2017, Manchester, United Kingdom

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2017 IEEE PowerTech Manchester

Y2 - 18 June 2017 through 22 June 2017

ER -

Appliance-based residential harmonic load modelling

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