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Impact of Flexible AC Transmission System Devices on Automatic Generation Control with a Metaheuristic Based Fuzzy PID Controller

Author

Listed:
  • Ramana Pilla

    (Department of EEE, GMR Institute of Technology, Rajam, Srikakulam, Andhra Pradesh 532127, India)

  • Ahmad Taher Azar

    (Robotics and Internet-of-Things Lab (RIOTU), Prince Sultan University, Riyadh 12435, Saudi Arabia
    Faculty of Computers and Artificial Intelligence, Benha University, Benha 13511, Egypt)

  • Tulasichandra Sekhar Gorripotu

    (Department of EEE, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh 532410, India)

Abstract

The present work proposes a teaching–learning-based optimization (TLBO)-tuned fuzzy proportional-integral-derivative (PID) controller of two-area hydro-thermal generating units for automatic generation control (AGC). The proposed system takes into account the physical constraints such as transport delay (TD), generation rate constraint (GRC), and governor dead band (GDB) nonlinearities. Firstly, fuzzy PID controllers were designed for both the areas and their gains were optimized using various minimization objective function criteria. Furthermore, applications of flexible alternating current transmission system (FACTS) devices such as static synchronous series compensator (SSSC), thyristor-controlled series capacitor (TCSC), thyristor-controlled phase shifter (TCPS), and unified power flow controller (UPFC) were investigated by integrating FACTS devices in appropriate locations of the system. The simulation results revealed that the minimum objective values were attained when the UPFC was placed in the system. Lastly, robustness analysis was done to observe the capability of the proposed controller with UPFC by changing system parameters and considering random load disturbances.

Suggested Citation

  • Ramana Pilla & Ahmad Taher Azar & Tulasichandra Sekhar Gorripotu, 2019. "Impact of Flexible AC Transmission System Devices on Automatic Generation Control with a Metaheuristic Based Fuzzy PID Controller," Energies, MDPI, vol. 12(21), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4193-:d:283034
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    References listed on IDEAS

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    1. Esmaili, Masoud & Shayanfar, Heidar Ali & Moslemi, Ramin, 2014. "Locating series FACTS devices for multi-objective congestion management improving voltage and transient stability," European Journal of Operational Research, Elsevier, vol. 236(2), pages 763-773.
    2. Liu, Jizhen & Yao, Qi & Hu, Yang, 2019. "Model predictive control for load frequency of hybrid power system with wind power and thermal power," Energy, Elsevier, vol. 172(C), pages 555-565.
    3. 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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    2. Hiramani Shukla & Srete Nikolovski & More Raju & Ankur Singh Rana & Pawan Kumar, 2022. "SMES-GCSC Coordination for Frequency and Voltage Regulation in a Multi-Area and Multi-Source Power System with Penetration of Electric Vehicles and Renewable Energy Sources," Energies, MDPI, vol. 16(1), pages 1-27, December.
    3. Liyun Si & Wenping Cao & Xiangping Chen, 2020. "Active Disturbance Rejection Control of a Longitudinal Tunnel Ventilation System," Energies, MDPI, vol. 13(8), pages 1-16, April.
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    5. Solomon Feleke & Raavi Satish & Workagegn Tatek & Almoataz Y. Abdelaziz & Adel El-Shahat, 2022. "DE-Algorithm-Optimized Fuzzy-PID Controller for AGC of Integrated Multi Area Power System with HVDC Link," Energies, MDPI, vol. 15(17), pages 1-21, August.
    6. Liqiang Jin & Ronglin Zhang & Binghao Tang & Hao Guo, 2020. "A Fuzzy-PID Scheme for Low Speed Control of a Vehicle While Going on a Downhill Road," Energies, MDPI, vol. 13(11), pages 1-18, June.

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