IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i8p3417-d1122543.html
   My bibliography  Save this article

Frequency Support Studies of a Diesel–Wind Generation System Using Snake Optimizer-Oriented PID with UC and RFB

Author

Listed:
  • Vikash Rameshar

    (Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa)

  • Gulshan Sharma

    (Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa)

  • Pitshou N. Bokoro

    (Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa)

  • Emre Çelik

    (Department of Electrical and Electronics Engineering, Engineering Faculty, Düzce University, Düzce 81620, Turkey)

Abstract

The present paper discusses the modeling and analysis of a diesel–wind generating system capable enough to cater to the electrical power requirements of a small consumer group or society. Due to high variations of the load demand or due to changes in the wind speed, the frequency of the diesel–wind system will be highly disturbed, and hence to regulate the frequency and power deviations of the wind turbine system, an effective controller design is a necessary requirement, and therefore this paper proposes a novel controller design based on PID scheme. The parameters of this controller is effectively optimized through a new snake optimizer (SO) in an offline manner to minimize frequency and power deviations of an isolated diesel–wind system. The performance of SO-PID for the diesel–wind system is evaluated by considering the integral of time multiplied absolute error ( ITAE ), integral absolute error ( IAE ), and integral of time multiplied square error ( ITSE ). The results were calculated for a step change in load, step change in wind speed, load change at different instants of time with diverse magnitude, and for random load patterns, and they were compared with some of the recently published results under similar working conditions. In addition, the effect of an ultracapacitor (UC) and redox flow battery (RFB) on SO-PID was investigated for the considered system, and the application results demonstrated the advantages of our proposal over other studied designs.

Suggested Citation

  • Vikash Rameshar & Gulshan Sharma & Pitshou N. Bokoro & Emre Çelik, 2023. "Frequency Support Studies of a Diesel–Wind Generation System Using Snake Optimizer-Oriented PID with UC and RFB," Energies, MDPI, vol. 16(8), pages 1-23, April.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3417-:d:1122543
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/8/3417/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/8/3417/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Hongxing & Wei, Zhou & Chengzhi, Lou, 2009. "Optimal design and techno-economic analysis of a hybrid solar-wind power generation system," Applied Energy, Elsevier, vol. 86(2), pages 163-169, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Singh, Bharat & Kumar, Ashwani, 2023. "Optimal energy management and feasibility analysis of hybrid renewable energy sources with BESS and impact of electric vehicle load with demand response program," Energy, Elsevier, vol. 278(PA).
    2. Salameh, Tareq & Ghenai, Chaouki & Merabet, Adel & Alkasrawi, Malek, 2020. "Techno-economical optimization of an integrated stand-alone hybrid solar PV tracking and diesel generator power system in Khorfakkan, United Arab Emirates," Energy, Elsevier, vol. 190(C).
    3. Prasad, Abhnil A. & Taylor, Robert A. & Kay, Merlinde, 2017. "Assessment of solar and wind resource synergy in Australia," Applied Energy, Elsevier, vol. 190(C), pages 354-367.
    4. Xiangyuan Zheng & Huadong Zheng & Yu Lei & Yi Li & Wei Li, 2020. "An Offshore Floating Wind–Solar–Aquaculture System: Concept Design and Extreme Response in Survival Conditions," Energies, MDPI, vol. 13(3), pages 1-23, January.
    5. Shou, Chunhui & Luo, Zhongyang & Wang, Tao & Shen, Weidong & Rosengarten, Gary & Wei, Wei & Wang, Cheng & Ni, Mingjiang & Cen, Kefa, 2012. "Investigation of a broadband TiO2/SiO2 optical thin-film filter for hybrid solar power systems," Applied Energy, Elsevier, vol. 92(C), pages 298-306.
    6. Chen, Jun & Garcia, Humberto E., 2016. "Economic optimization of operations for hybrid energy systems under variable markets," Applied Energy, Elsevier, vol. 177(C), pages 11-24.
    7. Yu, Nan & Kang, Jin-Su & Chang, Chung-Chuan & Lee, Tai-Yong & Lee, Dong-Yup, 2016. "Robust economic optimization and environmental policy analysis for microgrid planning: An application to Taichung Industrial Park, Taiwan," Energy, Elsevier, vol. 113(C), pages 671-682.
    8. Tarkeshwar Mahto & Rakesh Kumar & Hasmat Malik & Irfan Ahmad Khan & Sattam Al Otaibi & Fahad R. Albogamy, 2021. "Design and Implementation of Frequency Controller for Wind Energy-Based Hybrid Power System Using Quasi-Oppositional Harmonic Search Algorithm," Energies, MDPI, vol. 14(20), pages 1-23, October.
    9. Sinha, Sunanda & Chandel, S.S., 2015. "Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 755-769.
    10. Khatib, Tamer & Mohamed, Azah & Sopian, K., 2013. "A review of photovoltaic systems size optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 454-465.
    11. López-González, A. & Domenech, B. & Ferrer-Martí, L., 2018. "Sustainability and design assessment of rural hybrid microgrids in Venezuela," Energy, Elsevier, vol. 159(C), pages 229-242.
    12. Garcia-Teruel, Anna & DuPont, Bryony & Forehand, David I.M., 2020. "Hull geometry optimisation of wave energy converters: On the choice of the optimisation algorithm and the geometry definition," Applied Energy, Elsevier, vol. 280(C).
    13. Chen, Jun & Rabiti, Cristian, 2017. "Synthetic wind speed scenarios generation for probabilistic analysis of hybrid energy systems," Energy, Elsevier, vol. 120(C), pages 507-517.
    14. Shah, Rakibuzzaman & Mithulananthan, N. & Bansal, R.C., 2012. "Damping performance analysis of battery energy storage system, ultracapacitor and shunt capacitor with large-scale photovoltaic plants," Applied Energy, Elsevier, vol. 96(C), pages 235-244.
    15. Jae-Hoon Cho & Myung-Geun Chun & Won-Pyo Hong, 2016. "Structure Optimization of Stand-Alone Renewable Power Systems Based on Multi Object Function," Energies, MDPI, vol. 9(8), pages 1-19, August.
    16. Teresa Pakulska, 2021. "Green Energy in Central and Eastern European (CEE) Countries: New Challenges on the Path to Sustainable Development," Energies, MDPI, vol. 14(4), pages 1-19, February.
    17. Abbes, Dhaker & Martinez, André & Champenois, Gérard, 2014. "Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 98(C), pages 46-62.
    18. Chen, Hung-Cheng, 2013. "Optimum capacity determination of stand-alone hybrid generation system considering cost and reliability," Applied Energy, Elsevier, vol. 103(C), pages 155-164.
    19. Mahesh, Aeidapu & Sandhu, Kanwarjit Singh, 2015. "Hybrid wind/photovoltaic energy system developments: Critical review and findings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1135-1147.
    20. Zhe Lv & Zengping Wang & Wanyu Xu, 2019. "A Techno-Economic Study of 100% Renewable Energy for a Residential Household in China," Energies, MDPI, vol. 12(11), pages 1-17, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3417-:d:1122543. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.