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SmartNet: H2020 project analysing TSO–DSO interaction to enable ancillary services provision from distribution networks
- Author(s): Gianluigi Migliavacca 1 ; Marco Rossi 1 ; Daan Six 2 ; Mario Džamarija 3 ; Seppo Horsmanheimo 4 ; Carlos Madina 5 ; Ivana Kockar 6 ; Juan Miguel Morales 7
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View affiliations
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Affiliations:
1:
Ricerca sul Sistema Energetico , Milan, Italy ;
2: Energyville , Genk, Belgium ;
3: Technical University of Denmark , Copenhagen, Denmark ;
4: VTT, Technical Research Centre of Finland , Espoo, Finland ;
5: TECNALIA , Gipuzkoa, Spain ;
6: University of Strathclyde , Glasgow, Scotland ;
7: University of Malaga , Malaga, Spain
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Affiliations:
1:
Ricerca sul Sistema Energetico , Milan, Italy ;
- Source:
Volume 2017, Issue 1,
October
2017,
p.
1998 – 2002
DOI: 10.1049/oap-cired.2017.0104 , Online ISSN 2515-0855
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Published
01/10/2017
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Inspec keywords: power transmission; distribution networks
Other keywords: TSO– DSO interaction; ancillary services provision; power system; TSO–DSO coordination schemes; distribution networks; voltage regulation; SmartNet; H2020 project; congestion management
Subjects: Distribution networks
References
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6. ‘Aggregation models: preliminary report’, SmartNet project, Deliverable D2.3 – draft version, January 2017.
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2)
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7. Dent, C.J., Ochoa, L.F., Harrison, G.P., et al: ‘Efficient secure AC OPF for network generation capacity assessment’, IEEE Trans. Power Syst., 2010, 25, (1), pp. 575–583 (doi: 10.1109/TPWRS.2009.2036809).
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4. Saez-Gallego, J., Morales, J.M., Zugno, M., et al: ‘A data-driven bidding model for a cluster of price-responsive consumers of electricity’, IEEE Trans. Power Syst., 2016, 31, (6), pp. 5001–5011 (doi: 10.1109/TPWRS.2016.2530843).
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4)
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12. Parvania, M., Fotuhi-Firuzabad, M., Shahidehpour, M.: ‘Optimal demand response aggregation in wholesale electricity markets’, IEEE Trans. Smart Grid, 2013, 4, (4), pp. 1957–1965 (doi: 10.1109/TSG.2013.2257894).
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5)
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8. CEN-CENELEC-ETSI Smart Grid Coordination Group ‘SG-CG/ M490/F – Overview of SG-CG Methodologies’, November 2014 ftp://ftp.cencenelec.eu/EN/EuropeanStandardization/HotTopics/SmartGrids/SGCG_Methodology_Overview.pdf.
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1. CEER: ‘Position Paper on the Future DSO and TSO Relationship’, 2016[Online]. Available: http://www.ceer.eu/portal/page/portal/EER_HOME/EER_PUBLICATIONS/CEER_PAPERS/Cross-Sectoral/2016/C16-DS-26-04_DSO-TSOrelationship_PP_21-Sep-2016.pdf.
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2. Rivero, E., Six, D., Ramos, A., et al: ‘Preliminary assessment of the future roles of DSOs, future market architectures and regulatory frameworks for network integration of DRES’, evolvDSO Project, Deliverable 1.3, 2014[Online]. Available: http://www.evolvdso.eu.
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5. Ruiz, N., Claessens, B., Jimeno, J., et al: ‘Residential load forecasting under a demand response program based on economic incentives’, Int. Trans. Electr. Energ. Syst., 2015, 25, (8), pp. 1436–1451 (doi: 10.1002/etep.1905).
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http://iet.metastore.ingenta.com/content/journals/10.1049/oap-cired.2017.0104
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