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A novel scaling factor based fuzzy logic controller for frequency control of an isolated hybrid power system

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  • Mahto, Tarkeshwar
  • Mukherjee, V.

Abstract

Highly intermittent power, generated by wind energy in an isolated hybrid power system (IHPS), results in severe frequency and power fluctuation. The aim of this paper is to carry out a comparative study of scaling factor (SF) based fuzzy logic controller (FLC) (SF-FLC), SF-FLC with proportional-integral (PI) (SF-FLC-PI) controller, SF-FLC with proportional-derivative (PD) (SF-FLC-PD) controller and SF-FLC with proportional-integral-derivative (PID) (SF-FLC-PID) controller for deviation in frequency and power of an IHPS model. The undertaken model of IHPS for this study embraces a diesel engine generator, a wind turbine generator and an energy storage device (for instance, capacitive energy storage). Optimal tuning of the different tunable parameters considered for suppressing the deviation in frequency and power of IHPS model owing to alteration in load demand has been carried out by quasi-oppositional harmony search (QOHS) algorithm. The obtained results demonstrate minimum deviation in frequency and power may be realized by practicing the proposed SF-FLC-PID controller for the considered IHPS model. Robustness and non-linearity investigation have been also executed for the proposed SF-FLC-PID controller based configuration of the studied IHPS model. It is revealed that the proposed SF-FLC-PID controller is very much robust in nature and takes care of non-linearity very well while QOHS algorithm is adopted.

Suggested Citation

  • Mahto, Tarkeshwar & Mukherjee, V., 2017. "A novel scaling factor based fuzzy logic controller for frequency control of an isolated hybrid power system," Energy, Elsevier, vol. 130(C), pages 339-350.
    • Handle: RePEc:eee:energy:v:130:y:2017:i:c:p:339-350
    DOI: 10.1016/j.energy.2017.04.155
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    References listed on IDEAS

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    1. Bhatti, T.S. & Al-Ademi, A.A.F. & Bansal, N.K., 1997. "Load-frequency control of isolated wind-diesel-microhydro hybrid power systems (WDMHPS)," Energy, Elsevier, vol. 22(5), pages 461-470.
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    3. Chaudhary, Aniket Karan & Roy, Satyabrata & Guha, Dipayan & Negi, Richa & Banerjee, Subrata, 2024. "Adaptive cyber-tolerant finite-time frequency control framework for renewable-integrated power system under deception and periodic denial-of-service attacks," Energy, Elsevier, vol. 302(C).
    4. Dhundhara, Sandeep & Verma, Yajvender Pal, 2018. "Capacitive energy storage with optimized controller for frequency regulation in realistic multisource deregulated power system," Energy, Elsevier, vol. 147(C), pages 1108-1128.
    5. Hassan Haes Alhelou & Mohamad-Esmail Hamedani-Golshan & Reza Zamani & Ehsan Heydarian-Forushani & Pierluigi Siano, 2018. "Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review," Energies, MDPI, vol. 11(10), pages 1-35, September.
    6. Hongyue Li & Xihuai Wang & Jianmei Xiao, 2018. "Differential Evolution-Based Load Frequency Robust Control for Micro-Grids with Energy Storage Systems," Energies, MDPI, vol. 11(7), pages 1-19, June.
    7. Viktor Elistratov & Mikhail Konishchev & Roman Denisov & Inna Bogun & Aki Grönman & Teemu Turunen-Saaresti & Afonso Julian Lugo, 2021. "Study of the Intelligent Control and Modes of the Arctic-Adopted Wind–Diesel Hybrid System," Energies, MDPI, vol. 14(14), pages 1-14, July.
    8. Takele Ferede Agajie & Armand Fopah-Lele & Ahmed Ali & Isaac Amoussou & Baseem Khan & Mahmoud Elsisi & Om Prakash Mahela & Roberto Marcelo Álvarez & Emmanuel Tanyi, 2023. "Optimal Sizing and Power System Control of Hybrid Solar PV-Biogas Generator with Energy Storage System Power Plant," Sustainability, MDPI, vol. 15(7), pages 1-26, March.
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