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Publications (10 of 31) Show all publications
Angioni, A., Lu, S., Hooshyar, H., Cairo, I., Repo, S., Ponci, F., . . . Garcia, C. (2018). A distributed automation architecture for distribution networks, from design to implementation. Sustainable Energy, Grids and Networks, 15, 3-13
Open this publication in new window or tab >>A distributed automation architecture for distribution networks, from design to implementation
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2018 (English)In: Sustainable Energy, Grids and Networks, ISSN 0284-4354, E-ISSN 2352-4677, Vol. 15, p. 3-13Article in journal (Refereed) Published
Abstract [en]

With the current increase of distributed generation in distribution networks, line congestions and PQ issues are expected to increase. The smart grid may effectively coordinate DER, only when supported by a comprehensive architecture for automation. In IDE4L project such architecture is designed based on monitoring, control and business use cases. The IDE4L instance of SGAM architecture is derived and explained in details. The automation actor are specified in terms of interfaces, database and functions. The division in these three layers boosted the implementation phase as dedicated interfaces, databases or application has been developed in a modular way and can be installed in different HW/SW. Some implementation instances are presented and the main output of the architecture is discussed with regards to some indexes as communication traffic and level of distribution of automation functions.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Architecture, Smart grid, Distribution system
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-206223 (URN)10.1016/j.segan.2017.04.001 (DOI)000445025700002 ()2-s2.0-85020176163 (Scopus ID)
Funder
StandUp
Note

QC 20181002

Available from: 2017-04-28 Created: 2017-04-28 Last updated: 2019-08-05Bibliographically approved
Haddadi, A., Hooshyar, H., Mahseredjian, J., Dufou, C. & Vanfretti, L. (2017). A first step towards the implementation and software-to-software validation of an active distribution network model. In: : . Paper presented at International Conference on Power Systems Transients (IPST2017) in Seoul, Republic of Korea June 26-29, 2017. IPST 2017
Open this publication in new window or tab >>A first step towards the implementation and software-to-software validation of an active distribution network model
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2017 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IPST 2017, 2017
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-208408 (URN)
Conference
International Conference on Power Systems Transients (IPST2017) in Seoul, Republic of Korea June 26-29, 2017
Note

QC 20170627

Available from: 2017-06-07 Created: 2017-06-07 Last updated: 2017-08-11Bibliographically approved
Hooshyar, H. & Vanfretti, L. (2017). A SGAM-based architecture for synchrophasor applications facilitating TSO/DSO interactions. In: 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017: . Paper presented at 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017; Washington; United States; 23 April 2017 through 26 April 2017. IEEE, Article ID 8085977.
Open this publication in new window or tab >>A SGAM-based architecture for synchrophasor applications facilitating TSO/DSO interactions
2017 (English)In: 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017, IEEE, 2017, article id 8085977Conference paper, Published paper (Refereed)
Abstract [en]

Distribution grid dynamics are becoming increasingly complex due to the transition of these networks from passive to active networks. This transition requires increasing the observability and awareness of the interactions between Transmission and Distribution (T&D) grids, particularly to guarantee adequate operational security. As part of the work carried out in the EU-funded IDE4L project, a specific use case, containing PMU-based monitoring functions, has been defined to support the architecture design of a distribution grid automation system. As a result, the architecture can accommodate for synchrophasor applications that provide key dynamic information extraction and exchange between DSO and TSO. This paper presents the use case and the portion of the IDE4L architecture that accommodates for scenarios that exploit synchrophasors for monitoring applications.

Place, publisher, year, edition, pages
IEEE, 2017
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-202196 (URN)10.1109/ISGT.2017.8085977 (DOI)2-s2.0-85040194354 (Scopus ID)9781538628904 (ISBN)
Conference
2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017; Washington; United States; 23 April 2017 through 26 April 2017
Funder
StandUp
Note

QC 20170628

Available from: 2017-02-17 Created: 2017-02-17 Last updated: 2019-05-13Bibliographically approved
Mahseredjian, J., Haddadi, A., Hooshyar, H., Vanfretti, L. & Dufour, C. (2017). An active distribution network model for smart grid control and protection studies: model validation progress. In: 2017 IEEE Electrical Power and Energy Conference, EPEC 2017: . Paper presented at 2017 IEEE Electrical Power and Energy Conference, EPEC 2017; Saskatoon; Canada; 22 October 2017 through 25 October 2017 (pp. 373-377). IEEE
Open this publication in new window or tab >>An active distribution network model for smart grid control and protection studies: model validation progress
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2017 (English)In: 2017 IEEE Electrical Power and Energy Conference, EPEC 2017, IEEE, 2017, p. 373-377Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the implementation of an Active Distribution Network (ADN) model and its qualitative assessment using different off-line and real-time simulation tools. The objective is to provide software-to-software verification for the establishment of the model as a potential benchmark. Expanding upon the authors’ previous work [7], this paper provides additional simulation results, cross-examination of the models, and presents the latest modifications incorporated to address practical considerations. The ADN has multiple voltage levels and features various types of distributed energy resources including solar, wind generators, and storage. It further incorporates control and protection schemes for distributed energy resource units and loads; hence, it adequately represents the complex dynamics of an active distribution grid compared to the existing distribution grid test cases in the literature. As such, the test system can be used by other researchers to test numerical methods and conduct research on Smart Grid control, protection, and dynamic studies.

Place, publisher, year, edition, pages
IEEE, 2017
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-213006 (URN)10.1109/EPEC.2017.8286242 (DOI)000428185400065 ()2-s2.0-85050394063 (Scopus ID)978-1-5386-0817-3 (ISBN)
Conference
2017 IEEE Electrical Power and Energy Conference, EPEC 2017; Saskatoon; Canada; 22 October 2017 through 25 October 2017
Funder
StandUp
Note

QC 20170829

Available from: 2017-08-27 Created: 2017-08-27 Last updated: 2018-11-19Bibliographically approved
Singh, R. S., Hooshyar, H. & Vanfretti, L. (2017). Experimental real-time testing of a decentralized PMU data-based power systems mode estimator. In: : . Paper presented at 2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Experimental real-time testing of a decentralized PMU data-based power systems mode estimator
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the results and testing of a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. This work is a continuation of that in [1], which described a decentralized mode estimation architecture that enables the application to better detect local modes whose observability is affected by other more observable modes. The tests in this paper were carried out using an active distribution network (ADN) comprised of a high voltage network connected to a distribution grid including renewable energy resources (RES). The developed application was run in a decentralized architecture where each PMU was associated with its own processing unit which was running the application to estimate modes from the time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with its centralized counterpart.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-202357 (URN)10.1109/PESGM.2017.8274269 (DOI)000426921802007 ()228184 (PubMedID)2-s2.0-85046341859 (Scopus ID)9781538622124 (ISBN)
Conference
2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL
Funder
StandUp
Note

QC 20170519. QC 20191022

Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2019-10-22Bibliographically approved
Singh, N., Hooshyar, H. & Vanfretti, L. (2017). Feeder dynamic rating application for active distribution network using synchrophasors. Sustainable Energy, Grids and Networks, 10, 35-45
Open this publication in new window or tab >>Feeder dynamic rating application for active distribution network using synchrophasors
2017 (English)In: Sustainable Energy, Grids and Networks, ISSN 0284-4354, E-ISSN 2352-4677, Vol. 10, p. 35-45Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2017
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-202198 (URN)10.1016/j.segan.2017.02.004 (DOI)000405981600004 ()2-s2.0-85014314478 (Scopus ID)
Funder
StandUp
Note

QC 20170517

Available from: 2017-02-17 Created: 2017-02-17 Last updated: 2017-08-11Bibliographically approved
Hooshyar, H., Baran, M. E., Firouzi, S. R. & Vanfretti, L. (2017). PMU-assisted overcurrent protection for distribution feeders employing solid state transformers. Sustainable Energy, Grids and Networks, 10, 26-34
Open this publication in new window or tab >>PMU-assisted overcurrent protection for distribution feeders employing solid state transformers
2017 (English)In: Sustainable Energy, Grids and Networks, ISSN 0284-4354, E-ISSN 2352-4677, Vol. 10, p. 26-34Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2017
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-202199 (URN)10.1016/j.segan.2017.02.003 (DOI)000405981600003 ()2-s2.0-85014253541 (Scopus ID)
Funder
StandUpEU, FP7, Seventh Framework Programme
Note

QC 20170628

Available from: 2017-02-17 Created: 2017-02-17 Last updated: 2017-08-11Bibliographically approved
Mahmood, F., Hooshyar, H. & Vanfretti, L. (2017). Sensitivity Analysis of a PMU-Fed Steady State Model Synthesis Method for Active Distribution Networks. In: 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING: . Paper presented at 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE
Open this publication in new window or tab >>Sensitivity Analysis of a PMU-Fed Steady State Model Synthesis Method for Active Distribution Networks
2017 (English)In: 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this paper is to carry outsensitivityanalysisofa method that performssteady state model synthesis(SSMS)of active distribution networksusing SyncrophasorMeasurements.An extended version of the Total Vector Error (TVE) is used as a metric to evaluate how sensitive the output of the SSMS method is to the changesinthe inputsto the method.Location of PMUs in the system,system operating point,and occurrence of different disturbancesareconsideredas the input tothe SSMS method. The sensitivity analysis is performed through several case studieseach containing changesin one of the inputs.

Place, publisher, year, edition, pages
IEEE, 2017
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-202324 (URN)10.1109/PESGM.2017.8274139 (DOI)000426921801109 ()2-s2.0-85046373974 (Scopus ID)
Conference
2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Funder
StandUp
Note

QC 20170330

Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2019-04-15Bibliographically approved
Hooshyar, H., Vanfretti, L., Mahmood, F., Singh, R. S., Singh, N., Bidadfar, A. & Firouzi, S. R. (2017). Synchrophasor applications facilitating interactions in transmission and distribution operations. In: 2017 IEEE Manchester PowerTech, Powertech 2017: . Paper presented at 2017 IEEE Manchester PowerTech, Powertech 2017, Manchester, United Kingdom, 18 June 2017 through 22 June 2017. IEEE, Article ID 7980917.
Open this publication in new window or tab >>Synchrophasor applications facilitating interactions in transmission and distribution operations
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2017 (English)In: 2017 IEEE Manchester PowerTech, Powertech 2017, IEEE, 2017, article id 7980917Conference paper, Published paper (Refereed)
Abstract [en]

Dynamics of distribution grids are becoming more and more complex to analyze due to their transition from passive networks to active ones. This has necessitated the increase of observability between Transmission and Distribution (T&D) grids for operational security and real-time security assessment. This paper presents an overview of the IDE4L project, funded by the European Commission, where a system of PMU data-based monitoring applications has been developed to facilitate TSO-DSO interactions.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
DSO, dynamic feeder rating, Kalman filter, mode estimator, PMU, steady state model synthesis, TSO, voltage stability analysis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-205196 (URN)10.1109/PTC.2017.7980917 (DOI)000411142500130 ()2-s2.0-85034737078 (Scopus ID)9781509042371 (ISBN)
Conference
2017 IEEE Manchester PowerTech, Powertech 2017, Manchester, United Kingdom, 18 June 2017 through 22 June 2017
Funder
StandUpEU, FP7, Seventh Framework Programme
Note

QC 20170502

Available from: 2017-04-07 Created: 2017-04-07 Last updated: 2018-02-21Bibliographically approved
Vanfretti, L., Hooshyar, H., Singh, R. S., Bidadfar, A. & Mahmood, F. (2017). Synchrophasor Applications for Distribution Networks, Supporting The IDE4L Use Case. In: 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING: . Paper presented at 2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL. IEEE
Open this publication in new window or tab >>Synchrophasor Applications for Distribution Networks, Supporting The IDE4L Use Case
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2017 (English)In: 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Distribution grid dynamics are becoming increasingly complex to analyze due to their transition from passive to active networks. This transition requires to increase the observability and awareness of the interactions between Transmission and Distribution (T&D) grids, particularly to guarantee adequate operational security. As part of the work carried out in the EU-funded IDE4L project, 11 specific use case, containing PMU-based monitoring functions, has been defined to support the architecture design of a distribution grid automation system. As a result, the architecture can accommodate for key dynamic information extraction and exchange between Distribution System Operator (DSO) and Transmission System Operator (TSO). This paper presents the use case and focuses on the technical aspects related to the development and implementation of the PMU-based monitoring functionalities.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE Power and Energy Society General Meeting PESGM, ISSN 1944-9925
Keywords
active distribution grid, Kalman filter, PMU, SGAM, use case
National Category
Embedded Systems
Identifiers
urn:nbn:se:kth:diva-228186 (URN)10.1109/PESGM.2017.8274494 (DOI)000426921802170 ()2-s2.0-85046349434 (Scopus ID)978-1-5386-2212-4 (ISBN)
Conference
2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL
Note

QC 20180521

Available from: 2018-05-21 Created: 2018-05-21 Last updated: 2018-11-19Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-6090-1674

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