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Automatic generation control of an interconnected two-area hybrid thermal system considering dish-stirling solar thermal and wind turbine system

Author

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  • Rahman, Asadur
  • Saikia, Lalit Chandra
  • Sinha, Nidul

Abstract

This article presents automatic generation control (AGC) of an interconnected two-area hybrid thermal system with additional power generation from dish-Stirling solar thermal system (DSTS) and wind turbine system (WTS). Each area is equipped with Integral (I), Proportional-Integral (PI), and Proportional-Integral-Derivative (PID) as secondary controllers to regulate power output of thermal system and maintain the power balance. This facilitates maintaining the frequency close to its nominal value. Biogeography-based optimization (BBO) technique is used for simultaneous optimization of controller parameters. System dynamics are evaluated with step load perturbation and random load perturbation in Area1. The performance of PID is found improved in comparison to I and PI controller in terms of settling time, peak deviation and magnitude of oscillation. Investigation shows that BBO optimized PID controller parameters obtained at nominal conditions are robust enough and not necessary to optimize for wide changes in renewable energy sources, area capacity ratio, system loading, and inertia constant (H). Thus, integration of DSTS and WTS for AGC of interconnected system is safely attributed.

Suggested Citation

  • Rahman, Asadur & Saikia, Lalit Chandra & Sinha, Nidul, 2017. "Automatic generation control of an interconnected two-area hybrid thermal system considering dish-stirling solar thermal and wind turbine system," Renewable Energy, Elsevier, vol. 105(C), pages 41-54.
    • Handle: RePEc:eee:renene:v:105:y:2017:i:c:p:41-54
    DOI: 10.1016/j.renene.2016.12.048
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    Cited by:

    1. Guha, Dipayan, 2023. "Non-integer disturbance observer-aided resilient frequency controller applied to hybrid power system," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    2. Latif, Abdul & Hussain, S.M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2020. "State-of-the-art of controllers and soft computing techniques for regulated load frequency management of single/multi-area traditional and renewable energy based power systems," Applied Energy, Elsevier, vol. 266(C).
    3. Marcin Wołowicz & Piotr Kolasiński & Krzysztof Badyda, 2021. "Modern Small and Microcogeneration Systems—A Review," Energies, MDPI, vol. 14(3), pages 1-47, February.
    4. Pablo Jimenez Zabalaga & Evelyn Cardozo & Luis A. Choque Campero & Joseph Adhemar Araoz Ramos, 2020. "Performance Analysis of a Stirling Engine Hybrid Power System," Energies, MDPI, vol. 13(4), pages 1-38, February.
    5. Deepak Kumar Gupta & Amitkumar V. Jha & Bhargav Appasani & Avireni Srinivasulu & Nicu Bizon & Phatiphat Thounthong, 2021. "Load Frequency Control Using Hybrid Intelligent Optimization Technique for Multi-Source Power Systems," Energies, MDPI, vol. 14(6), pages 1-16, March.
    6. Li, Pengfei & Hu, Weihao & Xu, Xiao & Huang, Qi & Liu, Zhou & Chen, Zhe, 2019. "A frequency control strategy of electric vehicles in microgrid using virtual synchronous generator control," Energy, Elsevier, vol. 189(C).
    7. Balvender Singh & Adam Slowik & Shree Krishan Bishnoi & Mandeep Sharma, 2023. "Frequency Regulation Strategy of Two-Area Microgrid System with Electric Vehicle Support Using Novel Fuzzy-Based Dual-Stage Controller and Modified Dragonfly Algorithm," Energies, MDPI, vol. 16(8), pages 1-24, April.
    8. Arya, Yogendra, 2019. "AGC of PV-thermal and hydro-thermal power systems using CES and a new multi-stage FPIDF-(1+PI) controller," Renewable Energy, Elsevier, vol. 134(C), pages 796-806.

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