IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i3p751-d318297.html
   My bibliography  Save this article

Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller

Author

Listed:
  • Angalaeswari Sendraya Perumal

    (School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, India)

  • Jamuna Kamaraj

    (School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, India)

Abstract

A novel Set Point Weighting Iterative Learning Controller (SPW-ILC) has been proposed for voltage stabilization at AC/DC bus, coordinated control among the distributed sources in the modeled hybrid microgrid (HMG) and synchronization of HMG with utility grid. The Aichi Micro grid test system located at Aichi Institute of Technology, Japan has been considered for the simulation studies and modeled in MATLAB/Simulink environment. The Aichi microgrid can be operated in autonomous mode as AC system and DC system. When it is working as DC system, the dc bus voltage is maintained stable by incorporating dedicated fuzzy logic controllers (FLC) for DC-DC converters due to the variable distributed sources. Meanwhile, the bidirectional converter also called as Interlinking Converter (IC) located between ac bus and dc bus controlled by proposed SPW-ILC converts the DC voltage into AC voltage and meets AC loads. In AC system of autonomous mode, the inverters are controlled by proposed controller to meet the ac demands. The grid connected mode of Aichi microgrid system is performed by properly controlling the IC to meet ac and dc loads. The proposed SPW-ILC reduces the voltage deviation and maintains the power balance under variable source and load conditions. The results have been compared with the conventional proportional integral (PI) controller and FLC to validate the performance of the controller. The results show that the proposed SPW-ILC has efficiently control the voltage and maintain the power balance.

Suggested Citation

  • Angalaeswari Sendraya Perumal & Jamuna Kamaraj, 2020. "Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller," Energies, MDPI, vol. 13(3), pages 1-22, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:751-:d:318297
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/3/751/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/3/751/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bouzid, Allal M. & Guerrero, Josep M. & Cheriti, Ahmed & Bouhamida, Mohamed & Sicard, Pierre & Benghanem, Mustapha, 2015. "A survey on control of electric power distributed generation systems for microgrid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 751-766.
    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. Sohail Sarwar & Desen Kirli & Michael M. C. Merlin & Aristides E. Kiprakis, 2022. "Major Challenges towards Energy Management and Power Sharing in a Hybrid AC/DC Microgrid: A Review," Energies, MDPI, vol. 15(23), pages 1-30, November.
    2. S. Angalaeswari & P. Sanjeevikumar & K. Jamuna & Zbigniew Leonowicz, 2020. "Hybrid PIPSO-SQP Algorithm for Real Power Loss Minimization in Radial Distribution Systems with Optimal Placement of Distributed Generation," Sustainability, MDPI, vol. 12(14), pages 1-21, July.

    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. Alessandro Labella & Filip Filipovic & Milutin Petronijevic & Andrea Bonfiglio & Renato Procopio, 2020. "An MPC Approach for Grid-Forming Inverters: Theory and Experiment," Energies, MDPI, vol. 13(9), pages 1-17, May.
    2. Karlson Hargroves & Benjamin James & Joshua Lane & Peter Newman, 2023. "The Role of Distributed Energy Resources and Associated Business Models in the Decentralised Energy Transition: A Review," Energies, MDPI, vol. 16(10), pages 1-15, May.
    3. Jeziel Vázquez & Elias J. J. Rodriguez & Jaime Arau & Nimrod Vázquez, 2021. "A di/dt Detection Circuit for DC Unidirectional Breaker Based on Inductor Transient Behaviour," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    4. Chettibi, N. & Mellit, A., 2018. "Intelligent control strategy for a grid connected PV/SOFC/BESS energy generation system," Energy, Elsevier, vol. 147(C), pages 239-262.
    5. Brandon Cortés-Caicedo & Luis Fernando Grisales-Noreña & Oscar Danilo Montoya & Miguel Angel Rodriguez-Cabal & Javier Alveiro Rosero, 2022. "Energy Management System for the Optimal Operation of PV Generators in Distribution Systems Using the Antlion Optimizer: A Colombian Urban and Rural Case Study," Sustainability, MDPI, vol. 14(23), pages 1-35, December.
    6. Francisco G. Montoya & Alfredo Alcayde & Francisco M. Arrabal-Campos & Raul Baños, 2019. "Quadrature Current Compensation in Non-Sinusoidal Circuits Using Geometric Algebra and Evolutionary Algorithms," Energies, MDPI, vol. 12(4), pages 1-17, February.
    7. Siewierski, Tomasz & Szypowski, Michał & Wędzik, Andrzej, 2018. "A review of economic aspects of voltage control in LV smart grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 37-45.
    8. Serban, Ioan, 2018. "A control strategy for microgrids: Seamless transfer based on a leading inverter with supercapacitor energy storage system," Applied Energy, Elsevier, vol. 221(C), pages 490-507.
    9. Bey, M. & Hamidat, A. & Benyoucef, B. & Nacer, T., 2016. "Viability study of the use of grid connected photovoltaic system in agriculture: Case of Algerian dairy farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 333-345.
    10. Castilla Manuel V. & Martin Francisco, 2021. "A Powerful Tool for Optimal Control of Energy Systems in Sustainable Buildings: Distortion Power Bivector," Energies, MDPI, vol. 14(8), pages 1-17, April.
    11. Ngoc Bao Lai & Kyeong-Hwa Kim, 2016. "An Improved Current Control Strategy for a Grid-Connected Inverter under Distorted Grid Conditions," Energies, MDPI, vol. 9(3), pages 1-23, March.
    12. Feng, Wei & Jin, Ming & Liu, Xu & Bao, Yi & Marnay, Chris & Yao, Cheng & Yu, Jiancheng, 2018. "A review of microgrid development in the United States – A decade of progress on policies, demonstrations, controls, and software tools," Applied Energy, Elsevier, vol. 228(C), pages 1656-1668.
    13. Wajahat Ullah Khan Tareen & Muhammad Aamir & Saad Mekhilef & Mutsuo Nakaoka & Mehdi Seyedmahmoudian & Ben Horan & Mudasir Ahmed Memon & Nauman Anwar Baig, 2018. "Mitigation of Power Quality Issues Due to High Penetration of Renewable Energy Sources in Electric Grid Systems Using Three-Phase APF/STATCOM Technologies: A Review," Energies, MDPI, vol. 11(6), pages 1-41, June.
    14. Hamdi Abdi, 2022. "A Brief Review of Microgrid Surveys, by Focusing on Energy Management System," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    15. Arcos-Aviles, Diego & Pascual, Julio & Guinjoan, Francesc & Marroyo, Luis & Sanchis, Pablo & Marietta, Martin P., 2017. "Low complexity energy management strategy for grid profile smoothing of a residential grid-connected microgrid using generation and demand forecasting," Applied Energy, Elsevier, vol. 205(C), pages 69-84.
    16. Burmester, Daniel & Rayudu, Ramesh & Seah, Winston & Akinyele, Daniel, 2017. "A review of nanogrid topologies and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 760-775.
    17. Minal S. Salunke & Ramesh S. Karnik & Angadi B. Raju & Vinayak N. Gaitonde, 2024. "Analysis of Transmission System Stability with Distribution Generation Supplying Induction Motor Loads," Mathematics, MDPI, vol. 12(1), pages 1-29, January.
    18. Khan, Muhammad Waseem & Wang, Jie, 2017. "The research on multi-agent system for microgrid control and optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1399-1411.
    19. Nosratabadi, Seyyed Mostafa & Hooshmand, Rahmat-Allah & Gholipour, Eskandar, 2017. "A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 341-363.
    20. Isa, Normazlina Mat & Tan, Chee Wei & Yatim, A.H.M., 2018. "A comprehensive review of cogeneration system in a microgrid: A perspective from architecture and operating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2236-2263.

    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:jeners:v:13:y:2020:i:3:p:751-:d:318297. 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.