IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v15y2024i8d10.1007_s13198-024-02417-5.html
   My bibliography  Save this article

Load frequency control in interconnected microgrids using Hybrid PSO–GWO based PI–PD controller

Author

Listed:
  • Pravat Kumar Ray

    (National Institute of Technology)

  • Akash Bartwal

    (National Institute of Technology)

  • Pratap Sekhar Puhan

    (Sreenidhi Institute of Science and Technology)

Abstract

Frequency deviation and Tie-Line power flow deviation are major concern due to the continuous load changing condition and the utilization of renewable energy sources in multi microgrid interconnected systems. Therefore, it is important and crucial to maintain the frequency and Tie-line power flow. In this paper, Novel hybrid algorithm combines both Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) driven proportional-integral-derivative (PID) controller and cascade Proportional Integral and Proportional Derivative (PI–PD) controller is suggested to deal with the issues in a proposed multi interconnected microgrid system. At first, the performance of the developed hybrid algorithm driven PID controller is investigated and its performance is compared with individual PSO and GWO driven PID controller. Finally the hybrid algorithm performance is investigated in cascade PI–PD controller and its performance is compared with the PID controller. Integral time multiplied by absolute error (ITAE) is used as the objective function in this work for obtaining optimum parameters of both PID and PI–PD controller. The simulated results show the superiority of the proposed hybrid algorithm (PSO–GWO) driven PI–PD controller compared with the other techniques in settling time, overshoot etc.

Suggested Citation

  • Pravat Kumar Ray & Akash Bartwal & Pratap Sekhar Puhan, 2024. "Load frequency control in interconnected microgrids using Hybrid PSO–GWO based PI–PD controller," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(8), pages 4124-4142, August.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:8:d:10.1007_s13198-024-02417-5
    DOI: 10.1007/s13198-024-02417-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-024-02417-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-024-02417-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yu, Dongmin & Zhu, Haoming & Han, Wenqi & Holburn, Daniel, 2019. "Dynamic multi agent-based management and load frequency control of PV/Fuel cell/ wind turbine/ CHP in autonomous microgrid system," Energy, Elsevier, vol. 173(C), pages 554-568.
    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. Talaat, M. & Hatata, A.Y. & Alsayyari, Abdulaziz S. & Alblawi, Adel, 2020. "A smart load management system based on the grasshopper optimization algorithm using the under-frequency load shedding approach," Energy, Elsevier, vol. 190(C).
    2. Younes Zahraoui & Ibrahim Alhamrouni & Saad Mekhilef & M. Reyasudin Basir Khan & Mehdi Seyedmahmoudian & Alex Stojcevski & Ben Horan, 2021. "Energy Management System in Microgrids: A Comprehensive Review," Sustainability, MDPI, vol. 13(19), pages 1-33, September.
    3. Li, Kun & Wei, Lishen & Fang, Jiakun & Ai, Xiaomeng & Cui, Shichang & Zhu, Mengshu & Wen, Jinyu, 2024. "Incentive-compatible primary frequency response ancillary service market mechanism for incorporating diverse frequency support resources," Energy, Elsevier, vol. 306(C).
    4. Ou, Kai & Yuan, Wei-Wei & Kim, Young-Bae, 2021. "Development of optimal energy management for a residential fuel cell hybrid power system with heat recovery," Energy, Elsevier, vol. 219(C).
    5. Qinjin Zhang & Xuzhou Zhuang & Yancheng Liu & Chuan Wang & Haohao Guo, 2019. "A Novel Autonomous Current-Sharing Control Strategy for Multiple Paralleled DC–DC Converters in Islanded DC Microgrid," Energies, MDPI, vol. 12(20), pages 1-22, October.
    6. Chaudhary, Aniket Karan & Roy, Satyabrata & Guha, Dipayan & Negi, Richa & Banerjee, Subrata, 2024. "Adaptive cyber-tolerant finite-time frequency control framework for renewable-integrated power system under deception and periodic denial-of-service attacks," Energy, Elsevier, vol. 302(C).
    7. Wang, Haibing & Zheng, Tianhang & Sun, Weiqing & Khan, Muhammad Qasim, 2023. "Research on the pricing strategy of park electric vehicle agent considering carbon trading," Applied Energy, Elsevier, vol. 340(C).
    8. Li, Zifeng & Guo, Litao & Yu, Samson S. & Zhang, Mingli & Ren, Yupeng & Zhang, Na & Li, Weidong, 2023. "An efficient full-response analytical model for probabilistic production simulation in fast frequency response reserve planning," Energy, Elsevier, vol. 273(C).
    9. Obara, Shin’ya & Fujimoto, Shoki & Sato, Katsuaki & Utsugi, Yuta, 2021. "Planning renewable energy introduction for a microgrid without battery storage," Energy, Elsevier, vol. 215(PB).
    10. Milcarek, Ryan J. & DeBiase, Vincent P. & Ahn, Jeongmin, 2020. "Investigation of startup, performance and cycling of a residential furnace integrated with micro-tubular flame-assisted fuel cells for micro-combined heat and power," Energy, Elsevier, vol. 196(C).
    11. Stanek, Wojciech, 2022. "Thermo-Ecological Cost (TEC) –comparison of energy-ecological efficiency of renewable and non-renewable energy technologies," Energy, Elsevier, vol. 261(PA).
    12. Musawenkosi Lethumcebo Thanduxolo Zulu & Rudiren Pillay Carpanen & Remy Tiako, 2023. "A Comprehensive Review: Study of Artificial Intelligence Optimization Technique Applications in a Hybrid Microgrid at Times of Fault Outbreaks," Energies, MDPI, vol. 16(4), pages 1-32, February.
    13. Rao, Yingqing & Yang, Jun & Xiao, Jinxing & Xu, Bingyan & Liu, Wenjing & Li, Yonghui, 2021. "A frequency control strategy for multimicrogrids with V2G based on the improved robust model predictive control," Energy, Elsevier, vol. 222(C).
    14. Peng, Yeping & Barzegar Gerdroodbary, M. & Sheikholeslami, M. & Shafee, Ahmad & Babazadeh, Houman & Moradi, R., 2020. "Mixing enhancement of the multi hydrogen fuel jets by the backward step," Energy, Elsevier, vol. 203(C).
    15. Wang, Jiangjiang & Chen, Yuzhu & Lior, Noam & Li, Weihua, 2019. "Energy, exergy and environmental analysis of a hybrid combined cooling heating and power system integrated with compound parabolic concentrated-photovoltaic thermal solar collectors," Energy, Elsevier, vol. 185(C), pages 463-476.
    16. Naderipour, Amirreza & Abdul-Malek, Zulkurnain & Nowdeh, Saber Arabi & Ramachandaramurthy, Vigna K. & Kalam, Akhtar & Guerrero, Josep M., 2020. "Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condi," Energy, Elsevier, vol. 196(C).
    17. Nicu Bizon & Phatiphat Thounthong & Damien Guilbert, 2020. "Efficient Operation of the Hybrid Power System Using an Optimal Fueling Strategy and Control of the Fuel Cell Power Based on the Required Power Tracking Algorithm," Sustainability, MDPI, vol. 12(22), pages 1-26, November.

    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:spr:ijsaem:v:15:y:2024:i:8:d:10.1007_s13198-024-02417-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.