IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i18p6706-d914160.html
   My bibliography  Save this article

Reliability Evaluation of Standalone Microgrid Based on Sequential Monte Carlo Simulation Method

Author

Listed:
  • Zhipeng Weng

    (Inverter Technology Engineering Research Center of Beijing, North China University of Technology, Beijing 100144, China)

  • Jinghua Zhou

    (Inverter Technology Engineering Research Center of Beijing, North China University of Technology, Beijing 100144, China)

  • Zhengdong Zhan

    (Inverter Technology Engineering Research Center of Beijing, North China University of Technology, Beijing 100144, China)

Abstract

In order to analyze the influence of uncertainty and an operation strategy on the reliability of a standalone microgrid, a reliability evaluation method based on a sequential Monte Carlo (SMC) simulation was developed. Here, the duty cycles of a microturbine (MT), the stochastic performance of photovoltaics (PV), and wind turbine generators (WTG) were considered. Moreover, the time-varying load with random fluctuation was modeled. In this method, the available capacity of an energy storage system (ESS) was also comprehensively considered by the SMC simulation. Then, the reliability evaluation framework was established from the perspectives of probability, frequency, and duration, and reliability evaluation algorithms under different operation strategies were formulated. Lastly, the influence of WTG and PV penetration and equipment capacity on the reliability was evaluated in the test system. The results showed that the complementary characteristics of wind and solar and the enhancement of the equipment capacity can both improve the reliability; but, with the increase in the penetration rate of WTG and PV, more ESS capacity is needed to cope with the randomness of WTG and PV. In addition, load shedding minimization strategies can minimize the probability and the number of reductions and achieve optimal reliability, which can provide a reference for the formulation of microgrid operation strategies.

Suggested Citation

  • Zhipeng Weng & Jinghua Zhou & Zhengdong Zhan, 2022. "Reliability Evaluation of Standalone Microgrid Based on Sequential Monte Carlo Simulation Method," Energies, MDPI, vol. 15(18), pages 1-20, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6706-:d:914160
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/18/6706/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/18/6706/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Longlong Liu & Xiaochuan Ai & Jun Wu, 2024. "Reliability and Residual Life of Cold Standby Systems," Mathematics, MDPI, vol. 12(10), pages 1-22, May.

    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:18:p:6706-:d:914160. 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.