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Dynamic Stability Evaluation of an Integrated Biodiesel-Geothermal Power Plant-Based Power System with Spotted Hyena Optimized Cascade Controller

Author

Listed:
  • Arindita Saha

    (Department of Electrical Engineering, Regent Education & Research Foundation Group of Institutions, Kolkata 700121, West Bengal, India)

  • Puja Dash

    (Department of Electrical and Electronics Engineering, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam 530048, Andhra Pradesh, India)

  • Naladi Ram Babu

    (Department of Electrical & Electronics Engineering, Aditya Engineering College, Surampalem 533437, Andhra Pradesh, India)

  • Tirumalasetty Chiranjeevi

    (Department of Electrical Engineering, Rajkiya Engineering College Sonbhadra, Churk 231206, Uttar Pradesh, India)

  • Mudadla Dhananjaya

    (Department of EEE, Anil Neerukonda Institute of Technology and Science (A), Visakhapatnam 531162, Andhra Pradesh, India)

  • Łukasz Knypiński

    (Faculty of Automatic Control, Robotic and Electrical Engineering, Poznan University of Technology, 60-965 Poznan, Poland)

Abstract

The perception of automatic generation control (AGC) has a massive part in delivering eminence power in an interrelated structure. To acquire eminence power by monitoring the fluctuations of frequency and tie-link power, an appropriate controller strategy is essential. This work explores AGC learning under the traditional situation. In this study, we employ a cascade controller with proportional amalgamation with a tilt-integral-derivative with a filter (TIDN) and fractional order integral-derivative (FOID), named TIDN-FOID. In order to acquire the controller’s attributes, a meta-heuristic optimization algorithm spotted hyena optimizer (SHO) is employed. Several investigations express the excellency of the TIDN-FOID controller over other controllers from outlook regarding the lessened level of peak_overshoot, peak_undershoot, and settling_time for the considered structure. The structure comprises thermal, biodiesel units in area 1, thermal, and geothermal units in area-2, and hydrothermal units in area-3. Both biodiesel and GPP have a better effect on system dynamics even in the presence of time delay. Action in the redox flow battery is also examined, providing a noteworthy outcome. Eigenvalue assessment is carried out to comment on the stability of the system. TIDN-FOID parameter values at nominal conditions are appropriate for a higher disturbance value without the need for optimization.

Suggested Citation

  • Arindita Saha & Puja Dash & Naladi Ram Babu & Tirumalasetty Chiranjeevi & Mudadla Dhananjaya & Łukasz Knypiński, 2022. "Dynamic Stability Evaluation of an Integrated Biodiesel-Geothermal Power Plant-Based Power System with Spotted Hyena Optimized Cascade Controller," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14842-:d:968772
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    References listed on IDEAS

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    1. Arindita Saha & Puja Dash & Naladi Ram Babu & Tirumalasetty Chiranjeevi & Bathina Venkateswararao & Łukasz Knypiński, 2022. "Impact of Spotted Hyena Optimized Cascade Controller in Load Frequency Control of Wave-Solar-Double Compensated Capacitive Energy Storage Based Interconnected Power System," Energies, MDPI, vol. 15(19), pages 1-25, September.
    2. Arya, Yogendra, 2017. "AGC performance enrichment of multi-source hydrothermal gas power systems using new optimized FOFPID controller and redox flow batteries," Energy, Elsevier, vol. 127(C), pages 704-715.
    3. Basma Salah & Hany M. Hasanien & Fadia M. A. Ghali & Yasser M. Alsayed & Shady H. E. Abdel Aleem & Adel El-Shahat, 2022. "African Vulture Optimization-Based Optimal Control Strategy for Voltage Control of Islanded DC Microgrids," Sustainability, MDPI, vol. 14(19), pages 1-26, September.
    4. Lili Dai & He Lu & Dezheng Hua & Xinhua Liu & Hongming Chen & Adam Glowacz & Grzegorz Królczyk & Zhixiong Li, 2022. "A Novel Production Scheduling Approach Based on Improved Hybrid Genetic Algorithm," Sustainability, MDPI, vol. 14(18), pages 1-15, September.
    5. Mohammed I. Alghamdi, 2022. "Optimization of Load Balancing and Task Scheduling in Cloud Computing Environments Using Artificial Neural Networks-Based Binary Particle Swarm Optimization (BPSO)," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
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    Cited by:

    1. Saha, Arindita & Bhaskar, Mahajan Sagar & Almakhles, Dhafer J. & Elmorshedy, Mahmoud F., 2024. "Employment of renewable based sources in amalgamated frequency-voltage control restructured system with TSA trained IPD(1+I) controller," Renewable Energy, Elsevier, vol. 222(C).

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