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State Estimation for Hybrid VSC Based HVDC/AC Transmission Networks

Author

Listed:
  • Motaz Ayiad

    (Efacec Automation, Grid Management Division, 4471-907 Porto, Portugal
    Faculty of Engineering (FEUP), University of Porto, 4200-465 Porto, Portugal
    Current address: Via de Francisco Sá Carneiro Apartado 3078, 4471-907 Moreira da Maia, Porto, Portugal.)

  • Helder Leite

    (Faculty of Engineering (FEUP), University of Porto, 4200-465 Porto, Portugal)

  • Hugo Martins

    (Efacec Automation, Grid Management Division, 4471-907 Porto, Portugal)

Abstract

As the integration of High Voltage Direct Current (HVDC) systems on modern power networks continues to expand, challenges have appeared in different fields of the network architecture. In the Supervisory, Control and Data Acquisition (SCADA) field, software and toolboxes are expected to be modified to meet the new network characteristics. Therefore, this paper presents a unified Weighted Least Squares (WLS) state estimation algorithm suitable for hybrid HVDC/AC transmission systems, based on Voltage Source Converter (VSC). The mathematical formulas of the unified approach are derived for modelling the AC, DC and converter coupling components. The method couples the AC and DC sides of the converter through power and voltage constraints and measurement functions. Two hybrid power system test cases have been studied to validate this work, a 4-AC/4-DC/4-AC network and Cigre B4 DC test case network. Furthermore, comparison between the fully decentralized state estimation and the unified method is provided, which indicated an accuracy improvement and error reduction.

Suggested Citation

  • Motaz Ayiad & Helder Leite & Hugo Martins, 2020. "State Estimation for Hybrid VSC Based HVDC/AC Transmission Networks," Energies, MDPI, vol. 13(18), pages 1-27, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4932-:d:416382
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    References listed on IDEAS

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    1. Unamuno, Eneko & Barrena, Jon Andoni, 2015. "Hybrid ac/dc microgrids—Part I: Review and classification of topologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1251-1259.
    2. Rosario Miceli, 2013. "Energy Management and Smart Grids," Energies, MDPI, vol. 6(4), pages 1-29, April.
    3. Francisco de Paula García-López & Manuel Barragán-Villarejo & Alejandro Marano-Marcolini & José María Maza-Ortega & José Luis Martínez-Ramos, 2018. "Experimental Assessment of a Centralised Controller for High-RES Active Distribution Networks," Energies, MDPI, vol. 11(12), pages 1-16, December.
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    Cited by:

    1. Abdulwahab A. Aljabrine & Abdallah A. Smadi & Yacine Chakhchoukh & Brian K. Johnson & Hangtian Lei, 2021. "Resiliency Improvement of an AC/DC Power Grid with Embedded LCC-HVDC Using Robust Power System State Estimation," Energies, MDPI, vol. 14(23), pages 1-17, November.
    2. Motaz Ayiad & Emily Maggioli & Helder Leite & Hugo Martins, 2021. "Communication Requirements for a Hybrid VSC Based HVDC/AC Transmission Networks State Estimation," Energies, MDPI, vol. 14(4), pages 1-25, February.
    3. Gaurav Kumar Roy & Marco Pau & Ferdinanda Ponci & Antonello Monti, 2021. "A Two-Step State Estimation Algorithm for Hybrid AC-DC Distribution Grids," Energies, MDPI, vol. 14(7), pages 1-21, April.

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