IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i12p4658-d1169115.html
   My bibliography  Save this article

Microgrid Optimal Dispatch Based on Distributed Economic Model Predictive Control Algorithm

Author

Listed:
  • Yuxiang Peng

    (Guangxi Power Grid Co., Ltd., Nanning 530023, China)

  • Wenqian Jiang

    (Guangxi Power Grid Co., Ltd., Nanning 530023, China)

  • Xingqiu Wei

    (Guangxi Power Grid Co., Ltd., Nanning 530023, China)

  • Juntao Pan

    (Guangxi Power Grid Co., Ltd., Nanning 530023, China)

  • Xiangyu Kong

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Zhou Yang

    (Guangxi Power Grid Co., Ltd., Nanning 530023, China)

Abstract

A microgrid cluster is composed of multiple interconnected microgrids and operates in the form of cluster, which can realize energy complementation between microgrids and significantly improve their renewable energy consumption capacity and system operation reliability. A microgrid optimal dispatch based on a distributed economic model predictive control algorithm is proposed in this paper. Firstly, the control task of the microgrid power generation system is defined, which is required to meet the load demand while reducing the economic loss of the system and realize dynamic economic optimization. The global objective function is designed based on the control task, and the detailed design method of the distributed economic model predictive controller is given. The control law is obtained by an iterative calculation using the Nash optimal method, which can effectively reduce the amount of data in the communication network. Finally, a microgrid group composed of four microgrids is used as an example for simulation verification. The simulation results show that the distributed economic model predictive control algorithm proposed in this paper has good economic benefits for microgrid dispatching.

Suggested Citation

  • Yuxiang Peng & Wenqian Jiang & Xingqiu Wei & Juntao Pan & Xiangyu Kong & Zhou Yang, 2023. "Microgrid Optimal Dispatch Based on Distributed Economic Model Predictive Control Algorithm," Energies, MDPI, vol. 16(12), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4658-:d:1169115
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/12/4658/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/12/4658/
    Download Restriction: no
    ---><---

    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:16:y:2023:i:12:p:4658-:d:1169115. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.