Open AccessCritical values of cyber parameters in a dynamic microgrid system
Author(s) -
Lee LungAn,
Liu ChenChing,
Wang Jingyu,
AppiahKubi Jennifer,
Schneider Kevin P.,
Tuffner Francis K.,
Ton Dan T.
Publication year - 2022
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/gtd2.12280
Subject(s) - microgrid , voltage droop , electric power system , cyber physical system , control theory (sociology) , stability (learning theory) , computer science , transient (computer programming) , control system , control engineering , control (management) , power (physics) , engineering , voltage regulator , voltage , physics , quantum mechanics , artificial intelligence , machine learning , electrical engineering , operating system
Abstract An islandedmicrogrid is cyber‐physical system, and the control relies on thecommunication system significantly. Improper parameters of the cyber system can result in instability of a microgrid system. To evaluate the impact of a networked control system on control performance, a cyber model is developed to represent data acquisition periods and communication delays. Simplification of the networked control system model is proposed to enhance the computational performance, making the analytical method applicable for large‐scale systems. Based on the analysis, a two‐dimensional stability region of a microgrid in the space of cyber parameters can be obtained. To validate the proposed method, a microgrid control scheme is proposed for power dispatch and regulation based on the droop and proportional‐integral (PI) feedback control. The analytical method is compared to the time‐domain simulation, and it is shown that the stability regions are nearly identical. The critical values of cyber parameters are determined based on the analytical results. The proposed control strategy with the given cyber parameters is validated for transient stability following dynamic events. Simulation results indicate that the design of a microgrid as a cyber‐physical system needs to be guided by critical values for cyber parameters to prevent system instability.