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A Comprehensive Review of Hybrid State Estimation in Power Systems: Challenges, Opportunities and Prospects

Author

Listed:
  • Leila Kamyabi

    (School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1120, New Zealand)

  • Tek Tjing Lie

    (School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1120, New Zealand)

  • Samaneh Madanian

    (School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1120, New Zealand)

  • Sarah Marshall

    (Department of Information Systems and Operations Management, University of Aukland, Auckland 1120, New Zealand)

Abstract

Due to the increasing demand for electricity, competitive electricity markets, and economic concerns, power systems are operating near their stability margins. As a result, power systems become more vulnerable following disturbances, particularly from a dynamic point of view. To maintain the stability of power systems, operators need to continuously monitor and analyze the grid’s state. Since modern power systems are large-scale, non-linear, complex, and interconnected, it is quite challenging and computationally demanding to monitor, control, and analyze them in real time. State Estimation (SE) is one of the most effective tools available to assist operators in monitoring power systems. To enhance measurement redundancy in power systems, employing multiple measurement sources is essential for optimal monitoring. In this regard, this paper, following a brief explanation of the SE concept and its different categories, highlights the significance of Hybrid State Estimation (HSE) techniques, which combine the most used data resources in power systems, traditional Supervisory Control and Data Acquisition (SCADA) system measurements and Phasor Measurement Units (PMUs) measurements. Additionally, recommendations for future research are provided.

Suggested Citation

  • Leila Kamyabi & Tek Tjing Lie & Samaneh Madanian & Sarah Marshall, 2024. "A Comprehensive Review of Hybrid State Estimation in Power Systems: Challenges, Opportunities and Prospects," Energies, MDPI, vol. 17(19), pages 1-20, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4806-:d:1485805
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    References listed on IDEAS

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    1. Ahmad, Fiaz & Rasool, Akhtar & Ozsoy, Emre & Sekar, Raja & Sabanovic, Asif & Elitaş, Meltem, 2018. "Distribution system state estimation-A step towards smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2659-2671.
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