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  • 1.
    Babazadeh, Davood
    et al.
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Muthukrishnan, Arvind
    KTH, School of Electrical Engineering (EES).
    Mitra, Pinaki
    HVDC, ABB Sweden, Ludvika.
    Larsson, Tomas
    HVDC, ABB Sweden, Ludvika.
    Nordström, Lars
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Real-Time Estimation of AC-Grid Short Circuit Capacity for HVDC Control Application2016In: IET Generation, Transmission & Distribution, ISSN 1751-8687, E-ISSN 1751-8695Article in journal (Refereed)
    Abstract [en]

    Being able to estimate the AC grid strength using Short Circuit Capacity (SCC) fromthe perspective of a connected HVDC station allows adjustment of converter control parameters orto select the converter’s operational control mode. The short circuit capacity can be calculated byestimation of the grid’s impedance and its equivalent voltage. This paper presents the operationaland practical challenges in real-time implementation of the grid estimation algorithms especiallyfor HVDC applications. This paper shows that the Recursive Least Square (RLS) algorithm can bevery efficiently used for the real-time estimation of SCC. This technique forms a regression prob-lem using algebraic complex equations with an objective to minimize the error between estimatedand measured parameters. The algorithm has been reformulated and simplified to make it non-complex without the use of matrices, in order to facilitate further implementation on an industrialreal-time controller. The performance of the real-time implementation has been evaluated usinga HIL platform. A sensitivity analysis has been also carriedout to study the impact of differentparameters and operational conditions on the performance of the estimation algorithm. Finally, theactual application of real-time SCC estimation for the HVDCsystems has been demonstrated.

  • 2.
    Babazadeh, Davood
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Muthukrishnan, Arvind
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Mitra, Pinaki
    HVDC, ABB Sweden, Ludvika.
    Larsson, Tomas
    HVDC, ABB Sweden, Ludvika.
    Nordström, Lars
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Selection of DC Voltage Controlling Station in an HVDC Grid2016In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 144, p. 224-232Article in journal (Refereed)
    Abstract [en]

    This paper proposes a real-time quantitative evaluation of HVDC converters’ in an HVDC grid to select the suitable DC slack converter. This real-time evaluation considers the strength of connecting AC grid and the converter's on-line capacity margin as selection metrics. The strength of AC grid is evaluated in real-time by the estimation of grid short circuit capacity using recursive lease square algorithm. Given these selection metrics, the credibility of HVDC stations in controlling the DC voltage can be offered to the system operator in real-time for further operational decisions. This paper also studies the practical aspect of the estimation algorithm regarding selection of the operating points. As major contribution, it suggests to intelligently use a naturally occurring droop response in HVDC grids as a second operating point in the estimation algorithm to calculate the short circuit capacity. The method has been tested through set of scenarios using a real-time co-simulation platform. This platform includes real-time power system simulator to model AC/DC grid, industrial HVDC controllers and corresponding ICT systems. The results show that the proper selection of DC slack station can improve the AC system response and DC voltage drops during disturbances.

  • 3.
    Babazadeh, Davood
    et al.
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Muthukrishnan, Arvind
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Nordström, Lars
    KTH, School of Electrical Engineering (EES), Electric power and energy systems.
    Mitra, Pinaki
    HVDC, ABB Sweden, Ludvika.
    Larsson, Tomas
    HVDC, ABB Sweden, Ludvika.
    Short Circuit Capacity Estimation for HVDC Control Application2016In: Power Systems Computation Conference (PSCC), 2016, IEEE conference proceedings, 2016Conference paper (Refereed)
    Abstract [en]

    This paper studies various operational aspects ofrecursive least square algorithm as a potential solution for theestimation of short circuit capacity in HVDC application. Inthis work, low computational requirement, minor operationalcomplication and acceptable accuracy of the estimated gridparameters have been considered as the performance metricsfor the selection of the suitable estimation algorithm. The chosenalgorithm forms a regression problem using at least two algebraiccomplex equations based on two different operating points. Theappropriate selection of the second operating point which fulfillsthe minimum required accuracy and convergence rate is of greatimportance, particularly in the practical implementation. Thispaper proposes and analyzes several choices of providing thesecond operating point for the estimation algorithm adopted toHVDC application. Furthermore, a sensitivity analysis has beencarried out to assess the impact of different parameters andoperational conditions such as execution time on the performanceof the estimation algorithm for the HVDC control purposes.

  • 4.
    Fidai, Muhammad Hassan
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Babazadeh, Davood
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Muthukrishnan, Arvind
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Nordström, Lars
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Supervisory Control for VSC-HVDC Grid Interconnecting AC Systems2015Conference paper (Refereed)
    Abstract [en]

    The aim of the paper is to introduce an independentsupervisory architecture for optimal control of power flow inHVDC grids. Such an independent DC supervisory control isable to manage the optimal operation of connecting VSCs incooperation with other AC SCADA systems. Identifying the gridtopology, DC supervisory control employs an optimal power flow(OPF) calculator based on interior point optimization method todetermine the setpoint values for all HVDC stations in a grid.The performance of such an independent supervisory control hasbeen studied through various test case scenarios using a real-timeco-simulation platform.

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