IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i2p186-d482366.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/2/186/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/9/2/186/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Emad M. Ahmed & Ali Selim & Hammad Alnuman & Waleed Alhosaini & Mokhtar Aly & Emad A. Mohamed, 2022. "Modified Frequency Regulator Based on TI λ -TD μ FF Controller for Interconnected Microgrids with Incorporating Hybrid Renewable Energy Sources," Mathematics, MDPI, vol. 11(1), pages 1-39, December.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

    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. Jean-François Côté & Manuel Iori, 2018. "The Meet-in-the-Middle Principle for Cutting and Packing Problems," INFORMS Journal on Computing, INFORMS, vol. 30(4), pages 646-661, November.
    2. Amil Daraz & Suheel Abdullah Malik & Ihsan Ul Haq & Khan Bahadar Khan & Ghulam Fareed Laghari & Farhan Zafar, 2020. "Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-31, November.
    3. Eleftherios Vlahakis & Leonidas Dritsas & George Halikias, 2019. "Distributed LQR Design for a Class of Large-Scale Multi-Area Power Systems," Energies, MDPI, vol. 12(14), pages 1-28, July.
    4. Athira M. Mohan & Nader Meskin & Hasan Mehrjerdi, 2020. "A Comprehensive Review of the Cyber-Attacks and Cyber-Security on Load Frequency Control of Power Systems," Energies, MDPI, vol. 13(15), pages 1-33, July.
    5. Kaleem Ullah & Abdul Basit & Zahid Ullah & Sheraz Aslam & Herodotos Herodotou, 2021. "Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview," Energies, MDPI, vol. 14(9), pages 1-43, April.
    6. Igor Kierkosz & Maciej Luczak, 2014. "A hybrid evolutionary algorithm for the two-dimensional packing problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(4), pages 729-753, December.
    7. Ninoslav Holjevac & Tomislav Baškarad & Josip Đaković & Matej Krpan & Matija Zidar & Igor Kuzle, 2021. "Challenges of High Renewable Energy Sources Integration in Power Systems—The Case of Croatia," Energies, MDPI, vol. 14(4), pages 1-20, February.
    8. José Fernando Gonçalves & Mauricio G. C. Resende, 2011. "A parallel multi-population genetic algorithm for a constrained two-dimensional orthogonal packing problem," Journal of Combinatorial Optimization, Springer, vol. 22(2), pages 180-201, August.
    9. Danny Ochoa & Sergio Martinez, 2021. "Analytical Approach to Understanding the Effects of Implementing Fast-Frequency Response by Wind Turbines on the Short-Term Operation of Power Systems," Energies, MDPI, vol. 14(12), pages 1-22, June.
    10. Wei, Lijun & Oon, Wee-Chong & Zhu, Wenbin & Lim, Andrew, 2011. "A skyline heuristic for the 2D rectangular packing and strip packing problems," European Journal of Operational Research, Elsevier, vol. 215(2), pages 337-346, December.
    11. M. Ebrahim Adabi & Bogdan Marinescu, 2022. "Direct Participation of Dynamic Virtual Power Plants in Secondary Frequency Control," Energies, MDPI, vol. 15(8), pages 1-15, April.
    12. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    13. Bi-Ying Chen & Xing-Chen Shangguan & Li Jin & Dan-Yun Li, 2020. "An Improved Stability Criterion for Load Frequency Control of Power Systems with Time-Varying Delays," Energies, MDPI, vol. 13(8), pages 1-14, April.
    14. Krzysztof Fleszar, 2016. "An Exact Algorithm for the Two-Dimensional Stage-Unrestricted Guillotine Cutting/Packing Decision Problem," INFORMS Journal on Computing, INFORMS, vol. 28(4), pages 703-720, November.
    15. Alexander Hübner & Fabian Schäfer & Kai N. Schaal, 2020. "Maximizing Profit via Assortment and Shelf‐Space Optimization for Two‐Dimensional Shelves," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 547-570, March.
    16. Allen, S.D. & Burke, E.K. & Kendall, G., 2011. "A hybrid placement strategy for the three-dimensional strip packing problem," European Journal of Operational Research, Elsevier, vol. 209(3), pages 219-227, March.
    17. Imahori, S. & Yagiura, M. & Ibaraki, T., 2005. "Improved local search algorithms for the rectangle packing problem with general spatial costs," European Journal of Operational Research, Elsevier, vol. 167(1), pages 48-67, November.
    18. Amil Daraz & Suheel Abdullah Malik & Athar Waseem & Ahmad Taher Azar & Ihsan Ul Haq & Zahid Ullah & Sheraz Aslam, 2021. "Automatic Generation Control of Multi-Source Interconnected Power System Using FOI-TD Controller," Energies, MDPI, vol. 14(18), pages 1-18, September.
    19. Wei, Lijun & Tian, Tian & Zhu, Wenbin & Lim, Andrew, 2014. "A block-based layer building approach for the 2D guillotine strip packing problem," European Journal of Operational Research, Elsevier, vol. 239(1), pages 58-69.
    20. Silvano Martello & Michele Monaci & Daniele Vigo, 2003. "An Exact Approach to the Strip-Packing Problem," INFORMS Journal on Computing, INFORMS, vol. 15(3), pages 310-319, August.

    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:jmathe:v:9:y:2021:i:2:p:186-:d:482366. 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.