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Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power System

Author

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  • Krishan Arora

    (School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab 144411, India
    Department of Electrical Engineering, Maharishi Markandeshwar University Mullana, Haryana 133207, India
    These authors contributed equally to this work.)

  • Ashok Kumar

    (Department of Electrical Engineering, Maharishi Markandeshwar University Mullana, Haryana 133207, India)

  • Vikram Kumar Kamboj

    (School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab 144411, India
    Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada)

  • Deepak Prashar

    (School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab 144411, India)

  • Bhanu Shrestha

    (Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Korea)

  • Gyanendra Prasad Joshi

    (Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea
    These authors contributed equally to this work.)

Abstract

There is an increasing concentration in the influences of nonconventional power sources on power system process and management, as the application of these sources upsurges worldwide. Renewable energy technologies are one of the best technologies for generating electrical power with zero fuel cost, a clean environment, and are available almost throughout the year. Some of the widespread renewable energy sources are tidal energy, geothermal energy, wind energy, and solar energy. Among many renewable energy sources, wind and solar energy sources are more popular because they are easy to install and operate. Due to their high flexibility, wind and solar power generation units are easily integrated with conventional power generation systems. Traditional generating units primarily use synchronous generators that enable them to ensure the process during significant transient errors. If massive wind generation is faltered due to error, it may harm the power system’s operation and lead to the load frequency control issue. This work proposes binary moth flame optimizer (MFO) variants to mitigate the frequency constraint issue. Two different binary variants are implemented for improving the performance of MFO for discrete optimization problems. The proposed model was evaluated and compared with existing algorithms in terms of standard testing benchmarks and showed improved results in terms of average and standard deviation.

Suggested Citation

  • Krishan Arora & Ashok Kumar & Vikram Kumar Kamboj & Deepak Prashar & Bhanu Shrestha & Gyanendra Prasad Joshi, 2021. "Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power System," Mathematics, MDPI, vol. 9(2), pages 1-20, January.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:2:p:186-:d:482366
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    References listed on IDEAS

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    1. 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.
    2. Hopper, E. & Turton, B. C. H., 2001. "An empirical investigation of meta-heuristic and heuristic algorithms for a 2D packing problem," European Journal of Operational Research, Elsevier, vol. 128(1), pages 34-57, January.
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    Cited by:

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    2. Mansoor Alturki & Rabeh Abbassi & Abdullah Albaker & Houssem Jerbi, 2022. "A New Hybrid Synchronization PLL Scheme for Interconnecting Renewable Energy Sources to an Abnormal Electric Grid," Mathematics, MDPI, vol. 10(7), pages 1-21, March.
    3. Thongsavanh Keokhoungning & Wullapa Wongsinlatam & Tawun Remsungnen & Ariya Namvong & Sirote Khunkitti & Bounmy Inthakesone & Apirat Siritaratiwat & Suttichai Premrudeepreechacharn & Chayada Surawanit, 2023. "Challenge of Supplying Power with Renewable Energy Due to the Impact of COVID-19 on Power Demands in the Lao PDR: Analysis Using Metaheuristic Optimization," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    4. Sun, Lingyun & Yin, Jiemin & Bilal, Ahmad Raza, 2023. "Green financing and wind power energy generation: Empirical insights from China," Renewable Energy, Elsevier, vol. 206(C), pages 820-827.
    5. Ahmed Fathy & Hegazy Rezk & Seydali Ferahtia & Rania M. Ghoniem & Reem Alkanhel & Mohamed M. Ghoniem, 2022. "A New Fractional-Order Load Frequency Control for Multi-Renewable Energy Interconnected Plants Using Skill Optimization Algorithm," Sustainability, MDPI, vol. 14(22), pages 1-25, November.
    6. Thongsavanh Keokhoungning & Suttichai Premrudeepreechacharn & Wullapa Wongsinlatam & Ariya Namvong & Tawun Remsungnen & Nongram Mueanrit & Kanda Sorn-in & Satit Kravenkit & Apirat Siritaratiwat & Chav, 2022. "Transmission Network Expansion Planning with High-Penetration Solar Energy Using Particle Swarm Optimization in Lao PDR toward 2030," Energies, MDPI, vol. 15(22), pages 1-19, November.

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