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Publications (8 of 8) Show all publications
Iqbal, A., Mahmood, F. & Ekstedt, M. (2019). Digital Forensic Analysis of Industrial Control Systems Using Sandboxing: A Case of WAMPAC Applications in the Power Systems. Energies, 12(13), Article ID 2598.
Open this publication in new window or tab >>Digital Forensic Analysis of Industrial Control Systems Using Sandboxing: A Case of WAMPAC Applications in the Power Systems
2019 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 12, no 13, article id 2598Article in journal (Refereed) Published
Abstract [en]

In today's connected world, there is a tendency of connectivity even in the sectors which conventionally have been not so connected in the past, such as power systems substations. Substations have seen considerable digitalization of the grid hence, providing much more available insights than before. This has all been possible due to connectivity, digitalization and automation of the power grids. Interestingly, this also means that anybody can access such critical infrastructures from a remote location and gone are the days of physical barriers. The power of connectivity and control makes it a much more challenging task to protect critical industrial control systems. This capability comes at a price, in this case, increasing the risk of potential cyber threats to substations. With all such potential risks, it is important that they can be traced back and attributed to any potential threats to their roots. It is extremely important for a forensic investigation to get credible evidence of any cyber-attack as required by the Daubert standard. Hence, to be able to identify and capture digital artifacts as a result of different attacks, in this paper, the authors have implemented and improvised a forensic testbed by implementing a sandboxing technique in the context of real time-hardware-in-the-loop setup. Newer experiments have been added by emulating the cyber-attacks on WAMPAC applications, and collecting and analyzing captured artifacts. Further, using sandboxing for the first time in such a setup has proven helpful.

Place, publisher, year, edition, pages
MDPI, 2019
Keywords
forensic investigations; forensic evidence substation; wide area monitoring protection and control; phasor measurement units (PMUs); industrial control systems; sandboxing
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Industrial Information and Control Systems
Identifiers
urn:nbn:se:kth:diva-254917 (URN)10.3390/en12132598 (DOI)000477034700136 ()2-s2.0-85068759897 (Scopus ID)
Funder
Swedish Civil Contingencies Agency
Note

QC 20190710

Available from: 2019-07-09 Created: 2019-07-09 Last updated: 2019-08-12Bibliographically approved
Mahmood, F., Vanfretti, L., Pignati, M., Hooshyar, H., Sossan, F. & Paolone, M. (2018). Experimental Validation of a Steady State Model Synthesis Method for a Three-Phase Unbalanced Active Distribution Network Feeder. IEEE Access, 6, 4042-4053
Open this publication in new window or tab >>Experimental Validation of a Steady State Model Synthesis Method for a Three-Phase Unbalanced Active Distribution Network Feeder
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2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 4042-4053Article in journal (Refereed) Published
Abstract [en]

This paper presents the field validation of a method that performs steady-state model synthesis (SSMS) of active distribution networks using syncrophasor measurements. The validation is performed by applying the SSMS method on a real active distribution feeder network by utilizing the measurements from real phasor measurement units (PMUs) installed at the EPFL campus. An extended version of total vector error and a power flow comparison at the PMU buses are used as performance assessment metrics. A real-time hardware-in-the-loop simulations set up at the Distributed Energy System Laboratory is used for further performance assessment of the SSMS application. The effectiveness of the SSMS application is demonstrated by testing it extensively for several different case studies.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018
Keywords
Active distribution network, experimental validation, model synthesis and phasor measurement unit
National Category
Computer Systems
Identifiers
urn:nbn:se:kth:diva-225326 (URN)10.1109/ACCESS.2018.2792320 (DOI)000426287800001 ()2-s2.0-85041220376 (Scopus ID)
Note

QC 20180404

Available from: 2018-04-04 Created: 2018-04-04 Last updated: 2018-04-04Bibliographically 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
Mahmood, F., Hooshyar, H. & Vanfretti, L. (2016). Extracting Steady State Components from Synchrophasor Data Using Kalman Filters. Energies, 9
Open this publication in new window or tab >>Extracting Steady State Components from Synchrophasor Data Using Kalman Filters
2016 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 9Article in journal (Refereed) Published
Abstract [en]

Data from phasor measurement units (PMUs) may be exploited to provide steady state information to the applications which require it. As PMU measurements may contain errors and missing data, the paper presents the application of a Kalman Filter technique for real-time data processing. PMU data captures the power system’s response at different time-scales, which are generated by different types of power system events; the presented Kalman Filter methods have been applied to extract the steady state components of PMU measurements that can be fed to steady state applications. Two KF-based methods have been proposed, i.e., a windowing-based KF method and “the modified KF”. Both methods are capable of reducing noise, compensating for missing data and filtering outliers from input PMU signals. A comparison of proposed methods has been carried out using the PMU data generated from a hardware-in-the-loop (HIL) experimental setup. In addition, a performance analysis of the proposed methods is performed using an evaluation metric.

Place, publisher, year, edition, pages
MDPI, 2016
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-187470 (URN)10.3390/en9050315 (DOI)000377263400007 ()
Funder
EU, FP7, Seventh Framework Programme
Note

QC 20160615

Available from: 2016-05-24 Created: 2016-05-24 Last updated: 2017-11-30Bibliographically approved
Mahmood, F., Hooshyar, H. & Vanfretti, L. (2016). Implementation of an architecture for steady state model synthesis of active distribution networks using syncrophasors.
Open this publication in new window or tab >>Implementation of an architecture for steady state model synthesis of active distribution networks using syncrophasors
2016 (English)Other (Refereed)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-192944 (URN)
Funder
StandUp
Note

QC 20161003

Available from: 2016-09-23 Created: 2016-09-23 Last updated: 2016-12-22Bibliographically approved
Mahmood, F., Hooshyar, H., Lavenius, J., Lund, P. & Vanfretti, L. (2016). Real-time reduced steady state model synthesis of active distribution networks using PMU measurements. IEEE Transactions on Power Delivery, 32(1), 546-555
Open this publication in new window or tab >>Real-time reduced steady state model synthesis of active distribution networks using PMU measurements
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2016 (English)In: IEEE Transactions on Power Delivery, ISSN 0885-8977, E-ISSN 1937-4208, Vol. 32, no 1, p. 546-555Article in journal (Refereed) Published
Abstract [en]

Due to the increase of generation sources in distribution networks, it is becoming more and more complex to develop and maintain models of these networks. Network operators need to determine reduced models of distribution networks to be used in grid management functions. This paper presents a novel method that synthesizes steady state models of unbalanced active distribution networks by the use of dynamic measurements (time series) from PMUs. As PMU measurements may contain errors and bad data, the paper presents the application of a Kalman Filter technique for real-time data processing. In addition, PMU data captures the power system’s response at different time-scales, which are generated by different types of power system events; the presented Kalman Filter has been improved to extract the steady state component of the PMU measurements to be fed to the steady state model synthesis application. Performance of the proposed methods has been assessed by real-time hardware-in-the-loop simulations on a sample distribution network.

Place, publisher, year, edition, pages
IEEE Press, 2016
Keywords
active distribution network, Kalman Filter (KF), model synthesis, PMU
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-192943 (URN)10.1109/TPWRD.2016.2602302 (DOI)000394539200059 ()2-s2.0-85010664762 (Scopus ID)
Funder
StandUp
Note

QC 20160928

Available from: 2016-09-23 Created: 2016-09-23 Last updated: 2017-10-16Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3488-533X

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