IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i16p5841-d886004.html
   My bibliography  Save this article

An Accurate Power Flow Method for Microgrids with Conventional Droop Control

Author

Listed:
  • Fang Lu

    (College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150009, China)

  • Hongda Liu

    (Yantai Research Institute, Harbin Engineering University, Harbin 150009, China)

Abstract

With conventional droop control, the droop relationship between the voltage and reactive power is not purely linear because of the filter reactance. This paper focuses on the theoretical analysis to account for this characteristic and presents a precise power flow method for conventional droop control. The proposed method is universal, which can handle not only conventional droop control, but also other control strategies, such as robust droop control, constant power control, and constant voltage–frequency control. It can also handle frequency-dependent active and reactive power loads and is adapted for islanded and grid-connected systems. The proposed method extends the applicability of conventional power flow methods to microgrids so that the framework of the method is generic; any conventional power flow algorithm can be adapted to this framework. Compared with the time-domain simulation method, the proposed method is accurate, simple, and easy to implement for industrial applications.

Suggested Citation

  • Fang Lu & Hongda Liu, 2022. "An Accurate Power Flow Method for Microgrids with Conventional Droop Control," Energies, MDPI, vol. 15(16), pages 1-15, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:5841-:d:886004
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/16/5841/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/16/5841/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Planas, Estefanía & Andreu, Jon & Gárate, José Ignacio & Martínez de Alegría, Iñigo & Ibarra, Edorta, 2015. "AC and DC technology in microgrids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 726-749.
    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. Mingshen Li & Jose Matas & Jorge El Mariachet & Carlos Gustavo C. Branco & Josep M. Guerrero, 2022. "A Fast Power Calculation Algorithm for Three-Phase Droop-Controlled-Inverters Using Combined SOGI Filters and Considering Nonlinear Loads," Energies, MDPI, vol. 15(19), pages 1-16, October.
    2. Abhimanyu Kumar & Abhishek Kumar & Rammohan Mallipeddi & Dong-Gyu Lee, 2022. "Adaptive Backward/Forward Sweep for Solving Power Flow of Islanded Microgrids," Energies, MDPI, vol. 15(24), pages 1-16, December.
    3. Ahmed Rashwan & Alexey Mikhaylov & Tomonobu Senjyu & Mahdiyeh Eslami & Ashraf M. Hemeida & Dina S. M. Osheba, 2023. "Modified Droop Control for Microgrid Power-Sharing Stability Improvement," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    4. Hussain A. Alhaiz & Ahmed S. Alsafran & Ali H. Almarhoon, 2023. "Single-Phase Microgrid Power Quality Enhancement Strategies: A Comprehensive Review," Energies, MDPI, vol. 16(14), pages 1-28, 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. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    2. Ahmad Alzahrani & Pourya Shamsi & Mehdi Ferdowsi, 2020. "Interleaved Multistage Step-Up Topologies with Voltage Multiplier Cells," Energies, MDPI, vol. 13(22), pages 1-18, November.
    3. Bustos, Cristian & Watts, David, 2017. "Novel methodology for microgrids in isolated communities: Electricity cost-coverage trade-off with 3-stage technology mix, dispatch & configuration optimizations," Applied Energy, Elsevier, vol. 195(C), pages 204-221.
    4. 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.
    5. 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.
    6. Dhimish, Mahmoud & Holmes, Violeta & Dales, Mark, 2017. "Parallel fault detection algorithm for grid-connected photovoltaic plants," Renewable Energy, Elsevier, vol. 113(C), pages 94-111.
    7. Vitor Fernão Pires & Armando Pires & Armando Cordeiro, 2023. "DC Microgrids: Benefits, Architectures, Perspectives and Challenges," Energies, MDPI, vol. 16(3), pages 1-20, January.
    8. Ashique, Ratil H. & Salam, Zainal & Bin Abdul Aziz, Mohd Junaidi & Bhatti, Abdul Rauf, 2017. "Integrated photovoltaic-grid dc fast charging system for electric vehicle: A review of the architecture and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1243-1257.
    9. Freitas Gomes, Icaro Silvestre & Perez, Yannick & Suomalainen, Emilia, 2020. "Coupling small batteries and PV generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
    10. Mirsaeidi, Sohrab & Dong, Xinzhou & Said, Dalila Mat, 2018. "Towards hybrid AC/DC microgrids: Critical analysis and classification of protection strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 97-103.
    11. Sathesh Murugan & Mohana Jaishankar & Kamaraj Premkumar, 2022. "Hybrid DC–AC Microgrid Energy Management System Using an Artificial Gorilla Troops Optimizer Optimized Neural Network," Energies, MDPI, vol. 15(21), pages 1-19, November.
    12. Wilson Pavon & Esteban Inga & Silvio Simani & Matthew Armstrong, 2023. "Optimal Hierarchical Control for Smart Grid Inverters Using Stability Margin Evaluating Transient Voltage for Photovoltaic System," Energies, MDPI, vol. 16(5), pages 1-16, March.
    13. Yohannes Biru Aemro & Pedro Moura & Aníbal T. de Almeida, 2020. "Design and Modeling of a Standalone DC-Microgrid for Off-Grid Schools in Rural Areas of Developing Countries," Energies, MDPI, vol. 13(23), pages 1-24, December.
    14. Hao Pan & Ming Ding & Anwei Chen & Rui Bi & Lei Sun & Shengliang Shi, 2018. "Research on Distributed Power Capacity and Site Optimization Planning of AC/DC Hybrid Micrograms Considering Line Factors," Energies, MDPI, vol. 11(8), pages 1-18, July.
    15. Hoffmann, Martha M. & Ansari, Dawud, 2019. "Simulating the potential of swarm grids for pre-electrified communities – A case study from Yemen," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 108, pages 289-302.
    16. Yanbo Che & Jinhuan Zhou & Tingjun Lin & Wenxun Li & Jianmei Xu, 2018. "A Simplified Control Method for Tie-Line Power of DC Micro-Grid," Energies, MDPI, vol. 11(4), pages 1-13, April.
    17. 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.
    18. Hamdi Abdi, 2022. "A Brief Review of Microgrid Surveys, by Focusing on Energy Management System," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    19. Roslan, M.F. & Hannan, M.A. & Ker, Pin Jern & Uddin, M.N., 2019. "Microgrid control methods toward achieving sustainable energy management," Applied Energy, Elsevier, vol. 240(C), pages 583-607.
    20. Md Mainul Islam & Mahmood Nagrial & Jamal Rizk & Ali Hellany, 2021. "General Aspects, Islanding Detection, and Energy Management in Microgrids: A Review," Sustainability, MDPI, vol. 13(16), pages 1-45, 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:jeners:v:15:y:2022:i:16:p:5841-:d:886004. 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.