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Wide-Area Measurement-Based Two-Level Control Design to Tolerate Permanent Communication Failures

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  • Murilo Eduardo Casteroba Bento

    (Department of Electrical Engineering, Federal University of Rio de Janeiro, Rio de Janeiro 21941909, Brazil)

Abstract

The operation of modern power systems must meet stability requirements to guarantee the supply of electrical energy. One of these requirements is to ensure that the low-frequency oscillation modes have high damping ratios to avoid angular instability and future power system blackouts. Advances in phasor measurement units (PMUs) have contributed to the development and improvement of wide-area damping controllers (WADCs) capable of increasing the damping rates of the oscillation modes of the system, especially the inter-area modes. Nevertheless, the operation of WADCs is vulnerable to communication failures and cyber-attacks, and if not properly designed the WADC can affect the stability of the entire system. This research proposes a procedure for designing a WADC robust to permanent communication failures using a linear quadratic regulator (LQR) and genetic algorithms. Case studies conducted on an IEEE 68-bus test power system show the effectiveness of the WADC designed by the proposed procedure even when communication failures are occurring in the system. The use of genetic algorithms improves the convergence and results of the LQR-based method.

Suggested Citation

  • Murilo Eduardo Casteroba Bento, 2023. "Wide-Area Measurement-Based Two-Level Control Design to Tolerate Permanent Communication Failures," Energies, MDPI, vol. 16(15), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5646-:d:1203820
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    References listed on IDEAS

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    1. Gavirineni Naveen Kumar & Edison Gundabattini, 2022. "Investigation of Supercritical Power Plant Boiler Combustion Process Optimization through CFD and Genetic Algorithm Methods," Energies, MDPI, vol. 15(23), pages 1-28, November.
    2. Kokou Amega & Yendoubé Laré & Ramchandra Bhandari & Yacouba Moumouni & Aklesso Y. G. Egbendewe & Windmanagda Sawadogo & Saidou Madougou, 2022. "Solar Energy Powered Decentralized Smart-Grid for Sustainable Energy Supply in Low-Income Countries: Analysis Considering Climate Change Influences in Togo," Energies, MDPI, vol. 15(24), pages 1-24, December.
    3. Denise Matos & João Gabriel Lassio & David Castelo Branco & Amaro Olímpio Pereira Júnior, 2022. "Perspectives for Expansion of Concentrating Solar Power (CSP) Generation Technologies in Brazil," Energies, MDPI, vol. 15(24), pages 1-16, December.
    4. Asfand Y. Khan & Zeshan Ahmad & Tipu Sultan & Saad Alshahrani & Khazar Hayat & Muhammad Imran, 2022. "Optimization of Photovoltaic Panel Array Configurations to Reduce Lift Force Using Genetic Algorithm and CFD," Energies, MDPI, vol. 15(24), pages 1-15, December.
    5. Aissatou Ndiaye & Mounkaila Saley Moussa & Cheikh Dione & Windmanagda Sawadogo & Jan Bliefernicht & Laouali Dungall & Harald Kunstmann, 2022. "Projected Changes in Solar PV and Wind Energy Potential over West Africa: An Analysis of CORDEX-CORE Simulations," Energies, MDPI, vol. 15(24), pages 1-22, December.
    6. Yilin Xie & Ying Xu, 2022. "Transmission Expansion Planning Considering Wind Power and Load Uncertainties," Energies, MDPI, vol. 15(19), pages 1-18, September.
    7. Gian Paramo & Arturo Bretas & Sean Meyn, 2022. "Research Trends and Applications of PMUs," Energies, MDPI, vol. 15(15), pages 1-32, July.
    8. Izzuddin Fathin Azhar & Lesnanto Multa Putranto & Roni Irnawan, 2022. "Development of PMU-Based Transient Stability Detection Methods Using CNN-LSTM Considering Time Series Data Measurement," Energies, MDPI, vol. 15(21), pages 1-20, November.
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