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Review on Distribution System State Estimation Considering Renewable Energy Sources

Author

Listed:
  • Hanshan Qing

    (Faculty of Engineering and Physical Sciences, School of Electronics and Computer Science, University of Southampton, Highfiled Campus, Southampton SO17 1BJ, UK)

  • Abhinav Kumar Singh

    (Faculty of Engineering and Physical Sciences, School of Electronics and Computer Science, University of Southampton, Highfiled Campus, Southampton SO17 1BJ, UK)

  • Efstratios Batzelis

    (Faculty of Engineering and Physical Sciences, School of Electronics and Computer Science, University of Southampton, Highfiled Campus, Southampton SO17 1BJ, UK)

Abstract

Power system state estimation (PSSE) is critical for accurately monitoring and managing electrical networks, especially with the increasing integration of renewable energy sources (RESs). This review aims to explicitly evaluate and compare state estimation techniques specifically adapted to handle RES-related uncertainties, providing both theoretical insights and clear practical guidance. It categorizes and analytically compares physical-model-based, forecasting-aided, and neural network-based approaches, summarizing their strengths, limitations, and ideal application scenarios. The paper concludes with recommendations for method selection under different practical conditions, highlighting opportunities for future research.

Suggested Citation

  • Hanshan Qing & Abhinav Kumar Singh & Efstratios Batzelis, 2025. "Review on Distribution System State Estimation Considering Renewable Energy Sources," Energies, MDPI, vol. 18(10), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:10:p:2524-:d:1655117
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