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Joint Detection and State Estimate with GSAs in PMU-Based Smart Grids

Author

Listed:
  • Feng Hua

    (School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
    Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Chinese Ministry of Education, Wuhu 241000, China)

  • Wengen Gao

    (School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
    Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Chinese Ministry of Education, Wuhu 241000, China)

  • Yunfei Li

    (School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
    Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Chinese Ministry of Education, Wuhu 241000, China)

  • Pengfei Hu

    (School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
    Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Chinese Ministry of Education, Wuhu 241000, China)

  • Lina Qiao

    (School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
    Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Chinese Ministry of Education, Wuhu 241000, China)

Abstract

The Phasor Measurement Unit (PMU) with a GPS signal receiver is a synchronized sensor widely used for power system state estimation. While the GPS receiver ensures time accuracy, it is vulnerable to network attacks. GPS spoofing attacks can alter the phase angle of PMU measurement signals and manipulate system states. This paper derives a power system state model based on PMUs under GPS spoofing attacks, according to the characteristics of changes in bus voltages and branch currents after GSA. Based on the characteristics of this model, a detection and correction algorithm for attacked data is proposed to detect GSA and correct attacked measurements. The corrected measurements can be used for power system state estimation. Simulation results on the IEEE 14-bus system show that the proposed algorithm improves the accuracy of state estimation under one or multiple GSAs, especially when multiple GSAs are present, compared to classical Weighted Least Squares Estimation (WLSE) and Alternating Minimization (AM) algorithms. Further research indicates that this algorithm is also applicable to large-scale networks.

Suggested Citation

  • Feng Hua & Wengen Gao & Yunfei Li & Pengfei Hu & Lina Qiao, 2023. "Joint Detection and State Estimate with GSAs in PMU-Based Smart Grids," Energies, MDPI, vol. 16(15), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5731-:d:1207697
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    References listed on IDEAS

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    1. Mitja Antončič & Igor Papič & Boštjan Blažič, 2019. "Robust and Fast State Estimation for Poorly-Observable Low Voltage Distribution Networks Based on the Kalman Filter Algorithm," Energies, MDPI, vol. 12(23), pages 1-18, November.
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