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Modeling and Optimization of Wind Turbines in Wind Farms for Solving Multi-Objective Reactive Power Dispatch Using a New Hybrid Scheme

Author

Listed:
  • Rahmad Syah

    (Data Science & Computational Intelligence Research Group, Universitas Medan Area, Medan 20223, Indonesia)

  • Safoura Faghri

    (School of Computer and Electrical Engineer, Graduate University of Research and Science, Islamic Azad University, Tehran 1584743311, Iran)

  • Mahyuddin KM Nasution

    (Data Science & Computational Intelligence Research Group, Universitas Sumatera Utara, Medan 20154, Indonesia)

  • Afshin Davarpanah

    (Data Science & Computational Intelligence Research Group, Universitas Medan Area, Medan 20223, Indonesia)

  • Marek Jaszczur

    (Faculty of Energy and Fuels, AGH University of Science and Technology, Mickiewicza 30, 30059 Kraków, Poland)

Abstract

Reactive Power Dispatch is one of the main problems in energy systems, particularly for the power industry, and a multi-objective framework should be proposed to solve it. In this study, we present a multi-objective framework for the optimization of wind turbines in wind farms. We investigate a new combined optimization method with Chaotic Local Search, Fuzzy Interactive Honey Bee Mating Optimization, Data-Sharing technique and Modified Gray Code for discrete variables. We use the proposed model to select optimal energy system parameters. The optimization process is based on simultaneous optimization of three functions. Finally, we improve a new method based on Pareto-optimal solutions to select the best one among all candidate solutions. The presented model and methodology are validated on energy systems with wind turbines. The evaluated efficiency is compared with the real system.

Suggested Citation

  • Rahmad Syah & Safoura Faghri & Mahyuddin KM Nasution & Afshin Davarpanah & Marek Jaszczur, 2021. "Modeling and Optimization of Wind Turbines in Wind Farms for Solving Multi-Objective Reactive Power Dispatch Using a New Hybrid Scheme," Energies, MDPI, vol. 14(18), pages 1-22, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5919-:d:638005
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    References listed on IDEAS

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    1. Jin Wang & Yu Gao & Wei Liu & Arun Kumar Sangaiah & Hye-Jin Kim, 2019. "An intelligent data gathering schema with data fusion supported for mobile sink in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 15(3), pages 15501477198, March.
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    3. Andrei M. Tudose & Irina I. Picioroaga & Dorian O. Sidea & Constantin Bulac, 2021. "Solving Single- and Multi-Objective Optimal Reactive Power Dispatch Problems Using an Improved Salp Swarm Algorithm," Energies, MDPI, vol. 14(5), pages 1-20, February.
    4. Kaldellis, J.K. & Kavadias, K.A. & Filios, A.E., 2009. "A new computational algorithm for the calculation of maximum wind energy penetration in autonomous electrical generation systems," Applied Energy, Elsevier, vol. 86(7-8), pages 1011-1023, July.
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