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Development of an Intelligent System for Distance Relay Protection with Adaptive Algorithms for Determining the Operation Setpoints

Author

Listed:
  • Olga Akhmedova

    (Department of Power Supply for Industrial Enterprises, Kamyshin Technological Institute (Branch) of Volgograd State Technical University, Lenina st. 6A, 403874 Kamyshin, Russia)

  • Anatoliy Soshinov

    (Department of Power Supply for Industrial Enterprises, Kamyshin Technological Institute (Branch) of Volgograd State Technical University, Lenina st. 6A, 403874 Kamyshin, Russia)

  • Farit Gazizov

    (Department of Economics and Organization of Production, Krasnoselskaya 51, Kazan State Power Engineering University, 420066 Kazan, Russia)

  • Svetlana Ilyashenko

    (Base Department of Trade Policy, Plekhanov Russian University of Economics, Stremyanny per. 36, 117997 Moscow, Russia)

Abstract

The drastic consequences of emergencies force us to look for ways to increase the stability of the device operation at overhead power transmission lines (OHPTL). It can be achieved by developing new algorithms for determining the protection operation setpoints and detecting the damage location. Fault detection at OHPTL of 10 kV and above is mainly carried out by the devices based on the measurement of emergency mode parameters. For fault detecting one should analyze the parameters of not only current and voltage at the accident time, but also of the overhead power line. Specific active resistance, specific reactance, specific active conductivity and specific reactive conductivity are used to characterize the overhead power transmission lines. As a rule, these parameters are normalized to the unit of length of the overhead line (OHL) and linear values are used in the calculations. When analyzing power lines, tabular approximate values of longitudinal and transversal parameters in equivalent circuits are used, although solving problems in an unsimplified form leads to significant refinements of the known solutions, since OHLs are influenced by external atmospheric factors (ambient temperature, soil moisture, wind force, ice formation, etc.). The paper analyzes these characteristics and evaluates the influence of the listed factors on the linear longitudinal and transversal parameters of overhead lines. A functional dependence of external factors on the distance protection actuation setpoint was obtained. A method for automatic correction of the setpoint of the intelligent protection complex and an adaptive relay protection algorithm was developed, taking into account changes in climatic factors, enabling to reduce the “dead zone” length and increase the protection sensitivity. The use of line parameters obtained from the sensors in the calculations give rise to a more accurate fault detection based on the use of remote sensing methods.

Suggested Citation

  • Olga Akhmedova & Anatoliy Soshinov & Farit Gazizov & Svetlana Ilyashenko, 2021. "Development of an Intelligent System for Distance Relay Protection with Adaptive Algorithms for Determining the Operation Setpoints," Energies, MDPI, vol. 14(4), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:973-:d:498342
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    References listed on IDEAS

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    1. Yingjun Wu & Manli Li & Yi Tang & Rong Fu & Ming Ni, 2015. "Reliability Analysis Models for Differential Protection Considering Communication Delays and Errors," Energies, MDPI, vol. 8(4), pages 1-19, March.
    2. Jesus Serrano & Carlos A. Platero & Maximo López-Toledo & Ricardo Granizo, 2015. "A Novel Ground Fault Identification Method for 2 × 5 kV Railway Power Supply Systems," Energies, MDPI, vol. 8(7), pages 1-20, July.
    3. Sang-Jae Choi & Sung-Hun Lim, 2019. "Enhancement on the Fault Ride through Capability of Power Distribution Systems Linked by Distributed Generation due to the Impedance of Superconducting Fault Current Limiters," Energies, MDPI, vol. 12(24), pages 1-18, December.
    4. Saeid Khavari & Rahman Dashti & Hamid Reza Shaker & Athila Santos, 2020. "High Impedance Fault Detection and Location in Combined Overhead Line and Underground Cable Distribution Networks Equipped with Data Loggers," Energies, MDPI, vol. 13(9), pages 1-15, May.
    5. Jesus Serrano & Carlos A. Platero & Maximo López-Toledo & Ricardo Granizo, 2015. "Serrano, J., et al. A Novel Ground Fault Identification Method for 2 × 5 kV Railway Power Supply Systems. Energies 2015, 8 , 7020-7039," Energies, MDPI, vol. 8(10), pages 1-2, September.
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    Cited by:

    1. Aleksandr Kulikov & Anton Loskutov & Dmitriy Bezdushniy, 2022. "Relay Protection and Automation Algorithms of Electrical Networks Based on Simulation and Machine Learning Methods," Energies, MDPI, vol. 15(18), pages 1-19, September.
    2. Umer Ehsan & Muhammad Jawad & Umar Javed & Khurram Shabih Zaidi & Ateeq Ur Rehman & Anton Rassõlkin & Maha M. Althobaiti & Habib Hamam & Muhammad Shafiq, 2021. "A Detailed Testing Procedure of Numerical Differential Protection Relay for EHV Auto Transformer," Energies, MDPI, vol. 14(24), pages 1-21, December.
    3. Marius Fișcă & Mihail Abrudean & Vlad Mureșan & Iulia Clitan & Mihaela-Ligia Ungureșan & Roxana Motorga & Emilian Ceuca, 2022. "Modeling and Simulation of High Voltage Power Lines under Transient and Persistent Faults," Mathematics, MDPI, vol. 11(1), pages 1-28, December.

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