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A Method to Handle Unbalanced Systems in Branch Current-Based State Estimators

Author

Listed:
  • Andrés Llombart

    (CIRCE Technology Centre, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

  • Luis Parada

    (CIRCE Technology Centre, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

  • Miguel Torres

    (CIRCE Technology Centre, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

  • Noemi Galán

    (CIRCE Technology Centre, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

  • Diego Martinez

    (CIRCE Technology Centre, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

Abstract

The undergoing energy transition to a sustainable future requires, among other things, the application of demand side management (DSM) techniques to maintain grid stability and allow a smooth performance. To successfully implement DSM strategies, near real-time monitoring of the grid is required. This can be achieved through a distribution system state estimator (DSSE). Conventional approaches to state estimation (SE) typically rely on the assumption of a balanced reference bus, which is reasonable for transmission systems but may not be applicable to low-voltage distribution networks, even more with significant distributed generation (DG) penetration. To address this problem, a branch current-based low-voltage DSSE for unbalanced three-phase systems is developed. The algorithm incorporates a virtual bus to account for highly unbalanced systems, enabling it to obtain a more accurate estimation of the grid state. The proposed method is compared to the conventional balanced reference bus method through multiple simulations under different load conditions in the IEEE European low-voltage test feeder.

Suggested Citation

  • Andrés Llombart & Luis Parada & Miguel Torres & Noemi Galán & Diego Martinez, 2025. "A Method to Handle Unbalanced Systems in Branch Current-Based State Estimators," Sustainability, MDPI, vol. 17(3), pages 1-12, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:3:p:942-:d:1575948
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    References listed on IDEAS

    as
    1. Yousaf Murtaza Rind & Muhammad Haseeb Raza & Muhammad Zubair & Muhammad Qasim Mehmood & Yehia Massoud, 2023. "Smart Energy Meters for Smart Grids, an Internet of Things Perspective," Energies, MDPI, vol. 16(4), pages 1-35, February.
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