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  • 1.
    Bidadfar, Ali
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Hooshyar, Hossein
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Monadi, Mehdi
    Vanfretti, Luigi
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Decoupled voltage stability assessment of distribution networks using synchrophasors2016In: Power and Energy Society General Meeting (PESGM), 2016, 2016, article id 7741644Conference paper (Refereed)
    Abstract [en]

    This paper presents a real-time voltage stabilityassessment in distribution networks (DNs) capable of separatingthe effects of the transmission and distribution network by usingsynchronized phasor measurements. The method aims to assisttransmission and distribution system operators to quantify theneed of their services in different parts of the DN in order toprovide adequate voltage support to their specific stakeholders.The method uses data from phasor measurement units (PMUs) toestimate models for both DN and transmission network (TN). ATh´evenin equivalent model is estimated for the TN and a T-modelfor the DN. By applying the superposition theorem on these twomodels, the contribution of each network to the overall systemvoltage stability can be distinguished at a specific bus (equippedwith a PMU). The method has been validated by a hardware-inthe-loop setup which consists an OPAL-RT real-time simulatorand three PMUs.

  • 2.
    Bidadfar, Ali
    et al.
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Nee, Hans-Peter
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Zhang, Lidong
    Harnefors, Lennart
    Namayantavana, Sanaz
    KTH.
    Abedi, Mehrdad
    Karrari, Mehdi
    Gharehpetian, Gevork B.
    Power System Stability Analysis Using Feedback Control System Modeling Including HVDC Transmission Links2016In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 31, no 1, p. 116-124Article in journal (Refereed)
    Abstract [en]

    A general platform is introduced to study the dynamics of power systems with high voltage dc (HVDC) transmission links. Small-signal stability, voltage stability, and interaction phenomena of power systems with both line-commutated-converter HVDC (LCC-HVDC) and voltage-source-converter HVDC (VSC-HVDC) are addressed using the proposed platform. In this platform, the entire power system is modeled as a multivariable feedback control system (FCS) which consists of three interconnected blocks. The contents as well as the inputs and outputs of the blocks are selected such that the conventional analysis tools for power system stability are applicable, both in the time and frequency domains. In the FCS model, the relationships between different instabilities are clear, and participant agents of each instability can be determined. The model is developed in a modular and hybrid style, to make it feasible for a large power system. The proposed model is validated against an electromagnetic transient simulation program (PSCAD) using time responses.

  • 3.
    Hooshyar, Hossein
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Vanfretti, Luigi
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Mahmood, Farhan
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Singh, Ravi Shankar
    KTH.
    Singh, Narender
    KTH.
    Bidadfar, Ali
    KTH.
    Firouzi, Seyed Reza
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Synchrophasor applications facilitating interactions in transmission and distribution operations2017In: 2017 IEEE Manchester PowerTech, Powertech 2017, IEEE, 2017, article id 7980917Conference 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.

  • 4.
    Vanfretti, Luigi
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Hooshyar, Hossein
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Mahmood, Farhan
    KTH, School of Electrical Engineering (EES), Electric Power Systems.
    Singh, Ravi Shankar
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Bidadfar, Ali
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Singh, Narender
    Synchrophasor applications for distribution networks enhancing T&D operation and information exchange2016Conference paper (Other academic)
  • 5.
    Vanfretti, Luigi
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Hooshyar, Hossein
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Singh, Ravi Shankar
    Bidadfar, Ali
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Mahmood, Farhan
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Synchrophasor Applications for Distribution Networks, Supporting The IDE4L Use Case2017Conference 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, 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 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.

  • 6.
    Vanfretti, Luigi
    et al.
    KTH.
    Hooshyar, Hossein
    KTH.
    Singh, Ravi Shankar
    KTH.
    Bidadfar, Ali
    KTH.
    Mahmood, Farhan
    KTH.
    Synchrophasor Applications for Distribution Networks, Supporting The IDE4L Use Case2017In: 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, IEEE , 2017Conference 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.

  • 7.
    Vanfretti, Luigi
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Olsen, Svein
    Statnett SF, Oslo.
    Arava, Venkata Satya Narasinham
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Laera, Giuseppe
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Bidadfar, Ali
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Rabuzin, Tin
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Lavenius, Jan
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Baudette, Maxime
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Gómez, Francisco José
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Jakobsen, Sigurd H.
    Norwegian University of Science and Technology, Trondheim, Norway.
    An open data repository and a data processing software toolset of an equivalent Nordic grid model matched to historical electricity market data2017In: Data in Brief, E-ISSN 2352-3409, Vol. 11, p. 349-357Article in journal (Refereed)
    Abstract [en]

    This article presents an open data repository, the methodology to generate it and the associated data processing software developed to consolidate an hourly snapshot historical data set for the year 2015 to an equivalent Nordic power grid model (aka Nordic 44), the consolidation was achieved by matching the model׳s physical response w.r.t historical power flow records in the bidding regions of the Nordic grid that are available from the Nordic electricity market agent, Nord Pool.

    The model is made available in the form of CIM v14, Modelica and PSS/E (Siemens PTI) files. The Nordic 44 model in Modelica and PSS/E were first presented in the paper titled “iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations” (Vanfretti et al., 2016) [1] for a single snapshot. In the digital repository being made available with the submission of this paper (SmarTSLab_Nordic44 Repository at Github, 2016) [2], a total of 8760 snapshots (for the year 2015) that can be used to initialize and execute dynamic simulations using tools compatible with CIM v14, the Modelica language and the proprietary PSS/E tool are provided. The Python scripts to generate the snapshots (processed data) are also available with all the data in the GitHub repository (SmarTSLab_Nordic44 Repository at Github, 2016) [2].

    This Nordic 44 equivalent model was also used in iTesla project (iTesla) [3] to carry out simulations within a dynamic security assessment toolset (iTesla, 2016) [4], and has been further enhanced during the ITEA3 OpenCPS project (iTEA3) [5]. The raw, processed data and output models utilized within the iTesla platform (iTesla, 2016) [4] are also available in the repository. The CIM and Modelica snapshots of the “Nordic 44” model for the year 2015 are available in a Zenodo repository.

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