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A Neural Network-Based Model Reference Control Architecture for Oscillation Damping in Interconnected Power System

Author

Listed:
  • Waqar Uddin

    (School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea)

  • Nadia Zeb

    (Department of Electrical Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22010, Pakistan)

  • Kamran Zeb

    (School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea
    Department of Electrical Engineering, National University of Science and Technology, Islamabad 44000, Pakistan)

  • Muhammad Ishfaq

    (School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea)

  • Imran Khan

    (School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea)

  • Saif Ul Islam

    (School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea)

  • Ayesha Tanoli

    (Department of Electrical Engineering, University of Management and Technology, Lahore, Sialkot Campus, Sialkot 51040, Pakistan)

  • Aun Haider

    (Department of Electrical Engineering, University of Management and Technology, Lahore, Sialkot Campus, Sialkot 51040, Pakistan)

  • Hee-Je Kim

    (School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea)

  • Gwan-Soo Park

    (School of Electrical and Computer Engineering, Pusan National University, 2 Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan-city-46241, Korea)

Abstract

In this paper, a model reference controller (MRC) based on a neural network (NN) is proposed for damping oscillations in electric power systems. Variation in reactive load, internal or external perturbation/faults, and asynchronization of the connected machine cause oscillations in power systems. If the oscillation is not damped properly, it will lead to a complete collapse of the power system. An MRC base unified power flow controller (UPFC) is proposed to mitigate the oscillations in 2-area, 4-machine interconnected power systems. The MRC controller is using the NN for training, as well as for plant identification. The proposed NN-based MRC controller is capable of damping power oscillations; hence, the system acquires a stable condition. The response of the proposed MRC is compared with the traditionally used proportional integral (PI) controller to validate its performance. The key performance indicator integral square error (ISE) and integral absolute error (IAE) of both controllers is calculated for single phase, two phase, and three phase faults. MATLAB/Simulink is used to implement and simulate the 2-area, 4-machine power system.

Suggested Citation

  • Waqar Uddin & Nadia Zeb & Kamran Zeb & Muhammad Ishfaq & Imran Khan & Saif Ul Islam & Ayesha Tanoli & Aun Haider & Hee-Je Kim & Gwan-Soo Park, 2019. "A Neural Network-Based Model Reference Control Architecture for Oscillation Damping in Interconnected Power System," Energies, MDPI, vol. 12(19), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3653-:d:270348
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    References listed on IDEAS

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    1. Singh, Bindeshwar & Mukherjee, V. & Tiwari, Prabhakar, 2015. "A survey on impact assessment of DG and FACTS controllers in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 846-882.
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    Cited by:

    1. Aliyu Sabo & Bashir Yunus Kolapo & Theophilus Ebuka Odoh & Musa Dyari & Noor Izzri Abdul Wahab & Veerapandiyan Veerasamy, 2022. "Solar, Wind and Their Hybridization Integration for Multi-Machine Power System Oscillation Controllers Optimization: A Review," Energies, MDPI, vol. 16(1), pages 1-32, December.
    2. Kai-Hung Lu & Qianlin Rao, 2023. "Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    3. Kai-Hung Lu & Chih-Ming Hong & Fu-Sheng Cheng, 2022. "Enhanced Dynamic Performance in Hybrid Power System Using a Designed ALTS-PFPNN Controller," Energies, MDPI, vol. 15(21), pages 1-22, November.

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