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An Optimal Power Flow Solution of a System Integrated with Renewable Sources Using a Hybrid Optimizer

Author

Listed:
  • Muhammad Riaz

    (Electrical Engineering Department, Wah Engineering College, University of Wah, Wah Cantt 47040, Pakistan)

  • Aamir Hanif

    (Electrical Engineering Department, Wah Engineering College, University of Wah, Wah Cantt 47040, Pakistan)

  • Haris Masood

    (Electrical Engineering Department, Wah Engineering College, University of Wah, Wah Cantt 47040, Pakistan)

  • Muhammad Attique Khan

    (Department of Mechanical Engineering, HITEC University Taxila, Taxila, Rawalpindi 47080, Pakistan)

  • Kamran Afaq

    (Department of Mechanical Engineering, HITEC University Taxila, Taxila, Rawalpindi 47080, Pakistan)

  • Byeong-Gwon Kang

    (Department of Information and Communication Engineering, Soonchunhyang University, Asan 31538, Korea)

  • Yunyoung Nam

    (Department of Computer Science and Engineering, Soonchunhyang University, Asan 31538, Korea)

Abstract

A solution to reduce the emission and generation cost of conventional fossil-fuel-based power generators is to integrate renewable energy sources into the electrical power system. This paper outlines an efficient hybrid particle swarm gray wolf optimizer (HPS-GWO)-based optimal power flow solution for a system combining solar photovoltaic (SPV) and wind energy (WE) sources with conventional fuel-based thermal generators (TGs). The output power of SPV and WE sources was forecasted using lognormal and Weibull probability density functions (PDFs), respectively. The two conventional fossil-fuel-based TGs are replaced with WE and SPV sources in the existing IEEE-30 bus system, and total generation cost, emission and power losses are considered the three main objective functions for optimization of the optimal power flow problem in each scenario. A carbon tax is imposed on the emission from fossil-fuel-based TGs, which results in a reduction in the emission from TGs. The results were verified on the modified test system that consists of SPV and WE sources. The simulation results confirm the validity and effectiveness of the suggested model and proposed hybrid optimizer. The results confirm the exploitation and exploration capability of the HPS-GWO algorithm. The results achieved from the modified system demonstrate that the use of SPV and WE sources in combination with fossil-fuel-based TGs reduces the total system generation cost and greenhouse emissions of the entire power system.

Suggested Citation

  • Muhammad Riaz & Aamir Hanif & Haris Masood & Muhammad Attique Khan & Kamran Afaq & Byeong-Gwon Kang & Yunyoung Nam, 2021. "An Optimal Power Flow Solution of a System Integrated with Renewable Sources Using a Hybrid Optimizer," Sustainability, MDPI, vol. 13(23), pages 1-12, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13382-:d:694076
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    References listed on IDEAS

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    1. Yaçine Merrad & Mohamed Hadi Habaebi & Siti Fauziah Toha & Md. Rafiqul Islam & Teddy Surya Gunawan & Mokhtaria Mesri, 2022. "Fully Decentralized, Cost-Effective Energy Demand Response Management System with a Smart Contracts-Based Optimal Power Flow Solution for Smart Grids," Energies, MDPI, vol. 15(12), pages 1-27, June.

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