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Etherden, Nicholas, Adjungerad lektorORCID iD iconorcid.org/0000-0003-0749-7366
Publications (10 of 62) Show all publications
Tavares de Oliveira, T. & Etherden, N. (2023). Hosting Capacity Using Real Time-Series for PV, EV, Load and Background Voltage. In: 27th International Conference on Electricity Distribution (CIRED 2023): . Paper presented at 27th International Conference and Exhibition on Electricity Distribution (CIRED 2023), Rome, Italy, June 12-15, 2023 (pp. 2838-2842). IEEE, Article ID 11054.
Open this publication in new window or tab >>Hosting Capacity Using Real Time-Series for PV, EV, Load and Background Voltage
2023 (English)In: 27th International Conference on Electricity Distribution (CIRED 2023), IEEE, 2023, p. 2838-2842, article id 11054Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2023
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-103652 (URN)10.1049/icp.2023.1035 (DOI)2-s2.0-85181539580 (Scopus ID)
Conference
27th International Conference and Exhibition on Electricity Distribution (CIRED 2023), Rome, Italy, June 12-15, 2023
Funder
Swedish Energy Agency, P50994-1
Note

ISBN for host publication: 978-1-83953-855-1

Available from: 2024-01-15 Created: 2024-01-15 Last updated: 2024-02-08Bibliographically approved
Galkin, N., Yang, C.-W., Etherden, N. & Vyatkin, V. (2023). Microcomputer Prototyping of IEC61850-9-2 with Performance Analysis. In: 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm): . Paper presented at IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), October 31 - November 3, 2023, Glasgow, United Kingdom. IEEE
Open this publication in new window or tab >>Microcomputer Prototyping of IEC61850-9-2 with Performance Analysis
2023 (English)In: 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), IEEE, 2023Conference paper, Published paper (Refereed)
Abstract [en]

Place, publisher, year, edition, pages
IEEE, 2023
Series
IEEE International Conference on Smart Grid Communications, ISSN 2373-6836, E-ISSN 2474-2902
National Category
Computer Sciences Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Dependable Communication and Computation Systems; Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-103538 (URN)10.1109/SmartGridComm57358.2023.10333923 (DOI)2-s2.0-85180812125 (Scopus ID)978-1-6654-5557-2 (ISBN)978-1-6654-5556-5 (ISBN)
Conference
IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), October 31 - November 3, 2023, Glasgow, United Kingdom
Funder
Vinnova, 2022-03002
Available from: 2024-01-09 Created: 2024-01-09 Last updated: 2024-01-12Bibliographically approved
Mulenga, E. & Etherden, N. (2023). Multiple distribution networks hosting capacity assessment using a stochastic approach. Sustainable Energy, Grids and Networks, 36, Article ID 101170.
Open this publication in new window or tab >>Multiple distribution networks hosting capacity assessment using a stochastic approach
2023 (English)In: Sustainable Energy, Grids and Networks, E-ISSN 2352-4677, Vol. 36, article id 101170Article in journal (Refereed) Published
Abstract [en]

About 15 000-customers are connected to the individual secondary distribution networks supplied through 48-medium voltage 10 kV radial feeders. The hosting capacity assessment uses the end-customer voltage magnitude rise and transformer thermal overload. The hosting capacity is estimated by applying the “stochastic mixed aleatory-epistemic method” to determine the voltage magnitude rise and load flow with solar PV. The minimum power consumption is compared with the solar PV power infeed through the individual transformers. The hosting capacity estimation is done for three-phase connected solar PV sizes from 3 to 18 kW. At moderate PV penetration (25%–50%), the results showed that overvoltage would limit the hosting capacity more often than overload, but it becomes an issue only for LV networks studied with more than 8-customers. Considering all LV networks, most of the customers could install 6 kWp. Even when installing PV systems of 18 kWp (about twice the average size today and about the maximum area of a typical residential roof), two-thirds of houses would not need an upgrade to withstand SS-EN 50160 voltage limits. The latter customers can connect solar PV units with 18 kWp size without overvoltage or overload issues.

Place, publisher, year, edition, pages
Elsevier Ltd, 2023
Keywords
Aleatory, Distribution network, Epistemic, Hosting capacity, Photovoltaic power systems, Uncertainty
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-101980 (URN)10.1016/j.segan.2023.101170 (DOI)001089060400001 ()2-s2.0-85173485151 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-11-08 (marisr);

License fulltext: CC BY

Available from: 2023-10-31 Created: 2023-10-31 Last updated: 2024-03-07Bibliographically approved
Galkin, N., Yang, C.-W., Etherden, N., Bollen, M., Vyatkin, V. & Wu, Y. (2023). Toolset Development for Modelling Sympathetic Phenomenon and its Detection by a Neural Network. In: 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON): . Paper presented at 2nd IEEE Industrial Electronics Society Annual On-Line Conference (IES ONCON 2023), United States, [DIGITAL], December 8-10, 2023. IEEE
Open this publication in new window or tab >>Toolset Development for Modelling Sympathetic Phenomenon and its Detection by a Neural Network
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2023 (English)In: 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON), IEEE, 2023Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2023
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Dependable Communication and Computation Systems; Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-105002 (URN)10.1109/ONCON60463.2023.10431303 (DOI)2-s2.0-85186749130 (Scopus ID)
Conference
2nd IEEE Industrial Electronics Society Annual On-Line Conference (IES ONCON 2023), United States, [DIGITAL], December 8-10, 2023
Funder
Vinnova, 2022-03002
Note

ISBN for host publication: 979-8-3503-5797-4; 

Available from: 2024-04-08 Created: 2024-04-08 Last updated: 2024-04-08Bibliographically approved
Ruwaida, Y., Chaves-Avila, J. P., Etherden, N., Gomez-Arriola, I., Gurses-Tran, G., Kessels, K., . . . Troncia, M. (2023). TSO-DSO-Customer coordination for purchasing flexibility system services: Challenges and lessons learned from a demonstration in Sweden. IEEE Transactions on Power Systems, 8(2), 1881-1893
Open this publication in new window or tab >>TSO-DSO-Customer coordination for purchasing flexibility system services: Challenges and lessons learned from a demonstration in Sweden
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2023 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 8, no 2, p. 1881-1893Article in journal (Refereed) Published
Place, publisher, year, edition, pages
IEEE, 2023
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:ltu:diva-95159 (URN)10.1109/tpwrs.2022.3188261 (DOI)000967059500001 ()2-s2.0-85134238592 (Scopus ID)
Available from: 2023-01-04 Created: 2023-01-04 Last updated: 2024-03-09Bibliographically approved
Etherden, N. & Alhamwi, M. (2023). Using Online Solar Photovoltaics Inverter Measurements to Determine the Hosting Capacity of Distribution Grids. Solar RRL, 7(22), Article ID 2300509.
Open this publication in new window or tab >>Using Online Solar Photovoltaics Inverter Measurements to Determine the Hosting Capacity of Distribution Grids
2023 (English)In: Solar RRL, E-ISSN 2367-198X, Vol. 7, no 22, article id 2300509Article in journal (Refereed) Published
Place, publisher, year, edition, pages
John Wiley & Sons, 2023
National Category
Energy Systems
Research subject
Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-101636 (URN)10.1002/solr.202300509 (DOI)001066638000001 ()2-s2.0-85171446319 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-11-24 (hanlid)

Available from: 2023-10-12 Created: 2023-10-12 Last updated: 2023-12-05Bibliographically approved
Mulenga, E., Bollen, M. H. .. & Etherden, N. (2022). Limits set by component loadability on solar power integration in distribution networks. Electric power systems research, 209, Article ID 107951.
Open this publication in new window or tab >>Limits set by component loadability on solar power integration in distribution networks
2022 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 209, article id 107951Article in journal (Refereed) Published
Abstract [en]

This paper proposes a deterministic and stochastic approach to quantify the hosting capacity that is often limited by the loadability limit of the cable cabinet or transformers due to customers with solar photovoltaics (PV) units. Distribution networks from two areas in Sweden supplying 309 MV/LV distribution transformers with 12,000 customers downstream have been studied. Using a deterministic model, a method is proposed and applied to assess the cable overvoltage against the loadability while considering the voltage rise margin. In addition, measurements have been applied to the methods and the loadability limits assessed. Illustrations for the concepts and important results for the guide to DSOs decision-making guide has been obtained. It is shown in the paper the hosting capacity anticipated at the end of a distribution network cable with a particular size is determined more often by the loadability at larger voltage rise margin and by overvoltage at smaller voltage rise margins. The results obtained for the data used show that the overload limit is exceeded more often for transformers than for cable supplying the cable cabinets at smaller solar PV sizes. For larger solar PV sizes, the feeder cable loadability limit is likely to be exceeded first before that of the transformers. The stochastic approach applied to the yields a small probability to exceed the hosting capacity and depend on the two epistemic uncertainties.

Place, publisher, year, edition, pages
Elsevier, 2022
Keywords
Power distribution, Photovoltaic system, Power system measurements, Probability distribution, Likelihood, Loadability
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-85231 (URN)10.1016/j.epsr.2022.107951 (DOI)000793827400006 ()2-s2.0-85127212073 (Scopus ID)
Funder
Swedish Energy Agency
Note

Validerad;2022;Nivå 2;2022-04-01 (hanlid);

Funder: Skellefteå Kraft Elnät; Umeå Energi AB

Available from: 2021-06-15 Created: 2021-06-15 Last updated: 2022-06-03Bibliographically approved
Ezzeddine, K. & Etherden, N. (2021). A Topology Agnostic Estimation Method for PV Hosting Capacity of Distribution Grids. In: 2021 IEEE Madrid PowerTech: Conference Proceedings. Paper presented at 14th IEEE PowerTech Conference, Madrid, Spain (Virtual), June 28-July 2, 2021. IEEE
Open this publication in new window or tab >>A Topology Agnostic Estimation Method for PV Hosting Capacity of Distribution Grids
2021 (English)In: 2021 IEEE Madrid PowerTech: Conference Proceedings, IEEE, 2021Conference paper, Published paper (Refereed)
Abstract [en]

A fast screening method to estimate PV hosting capacity in a low voltage grid with respect to overvoltage and transformer overload is presented in this paper. The method uses the resistance of the direct path from the slack bus to customer and an assumed topology in order to avoid complete knowledge about the grid topology. Using an assumed topology an estimate of the minimum overvoltage hosting capacity is obtained for each penetration level and the transformer overload hosting capacity for any combination of customers having PV. The method is suitable for initial response to demand connection enquiries and showed good correspondence by comparison with power flow simulation using the actual grid topology. The method was implemented on four semi-rural low voltage grids and the results showed that these grids were able to handle PV infeed comparable to maximum winter load due to three-phase connections.

Place, publisher, year, edition, pages
IEEE, 2021
Keywords
hosting capacity, load flow analysis, photovoltaics systems, power system planning, voltage fluctuations
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-86697 (URN)10.1109/PowerTech46648.2021.9495046 (DOI)000848778000294 ()2-s2.0-85112362776 (Scopus ID)
Conference
14th IEEE PowerTech Conference, Madrid, Spain (Virtual), June 28-July 2, 2021
Note

ISBN för värdpublikation: 978-1-6654-3597-0

Available from: 2021-08-17 Created: 2021-08-17 Last updated: 2022-09-23Bibliographically approved
Mulenga, E., Bollen, M. & Etherden, N. (2021). Adapted Stochastic PV Hosting Capacity Approach for Electric Vehicle Charging Considering Undervoltage. Electricity, 2(3), 387-402
Open this publication in new window or tab >>Adapted Stochastic PV Hosting Capacity Approach for Electric Vehicle Charging Considering Undervoltage
2021 (English)In: Electricity, E-ISSN 2673-4826, Vol. 2, no 3, p. 387-402Article in journal (Refereed) Published
Abstract [en]

This paper presents a stochastic approach to single-phase and three-phase EV charge hosting capacity for distribution networks. The method includes the two types of uncertainties, aleatory and epistemic, and is developed from an equivalent method that was applied to solar PV hosting capacity estimation. The method is applied to two existing low-voltage networks in Northern Sweden, with six and 83 customers. The lowest background voltage and highest consumption per customer are obtained from measurements. It is shown that both have a big impact on the hosting capacity. The hosting capacity also depends strongly on the charging size, within the range of charging size expected in the near future. The large range in hosting capacity found from this study—between 0% and 100% of customers can simultaneously charge their EV car—means that such hosting capacity studies are needed for each individual distribution network. The highest hosting capacity for the illustrative distribution networks was obtained for the 3.7 kW single-phase and 11 kW three-phase EV charging power. 

Place, publisher, year, edition, pages
MDPI, 2021
Keywords
hosting capacity, Monte Carlo methods, stochastic, uncertainty, undervoltage, electric vehicle
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-85230 (URN)10.3390/electricity2030023 (DOI)2-s2.0-85127519231 (Scopus ID)
Note

Validerad;2021;Nivå 1;2021-11-09 (johcin)

Available from: 2021-06-15 Created: 2021-06-15 Last updated: 2023-10-11Bibliographically approved
Mulenga, E., Bollen, M. & Etherden, N. (2021). Distribution networks measured background voltage variations, probability distributions characterization and Solar PV hosting capacity estimations. Electric power systems research, 192, Article ID 106979.
Open this publication in new window or tab >>Distribution networks measured background voltage variations, probability distributions characterization and Solar PV hosting capacity estimations
2021 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 192, article id 106979Article in journal (Refereed) Published
Abstract [en]

Solar photovoltaics in electricity distribution networks is often limited by the rise in voltage magnitude. The pre-connection voltage magnitude is an important factor that determines the hosting capacity.

This paper studies to which extent details of the pre-connection voltage magnitude impact the hosting capacity. Extensive measurements of voltage magnitude and solar power production were obtained for a number of distribution networks with 10-minute resolution. The measured background voltage during the sunny-hours from the two-year measurements was used to obtain representative probability distribution functions. A guide for selecting the time-of-day (ToD) used is presented.

The obtained probability distribution functions are applied to estimate the stochastic hosting capacity for a low-voltage distribution network with 83 customers. The impact of various details on the hosting capacity are studied.

The results show that general knowledge about the range of the pre-connection voltage are essential for the hosting capacity estimation. Measurements over one year were shown to be sufficient to estimate the hosting capacity. The hosting capacity considering the entire day was underestimated by 11 % when compared to the 10 am – 2 pm sunny-hours. The proposed method is general and can be applied to other aleatory uncertainties and other types of hosting capacity studies.

Place, publisher, year, edition, pages
Elsevier, 2021
Keywords
Electricity, Hosting capacity calculation, Probability distribution, Solar power generation, Uncertainty, Voltage measurement
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-81697 (URN)10.1016/j.epsr.2020.106979 (DOI)000613250700002 ()2-s2.0-85097064021 (Scopus ID)
Note

Validerad;2021;Nivå 2;2021-02-22 (johcin)

Available from: 2020-11-30 Created: 2020-11-30 Last updated: 2021-06-16Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0003-0749-7366

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