Distributed Robust Frequency Restoration and Active Power Sharing for Autonomous Microgrids With Event-Triggered Strategy

• Published in: IEEE transactions on smart grid Vol. 12; no. 5; pp. 3819 - 3834
• Main Authors: Zhao, Daduan, Zhang, Chenghui, Sun, Yue, Li, Shizhong, Sun, Bo, Li, Yan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: active power sharing; Algorithms; autonomous microgrids; bounded disturbances; Communication networks; Distributed generation; Frequency control; Frequency restoration; Microgrids; Power system stability; Process control; Restoration; Robust control; secondary event-triggered control; Time-frequency analysis; Voltage control
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2021.3087960

In real-word applications, distributed generators (DGs) cooperate to accomplish the objectives of frequency restoration and active power sharing with time restrictions plays a crucial role in improving power quality of AC islanded microgrids. To address this issue, two novel distributed robust secondary control protocols, namely finite-time and fixed-time consensus algorithms, which subject to unknown external bounded disturbances are put forward. The main features of the proposed algorithms are distributed implementation, discrete control, asynchronous communication, and local computation. Take the event-triggered strategy into consideration, the developed algorithms have faster convergence speeds as long as the event-triggered parameters are limited in a certain range. Through Lyapunov synthesis, the conditions of maximum/off-line settling time for finite/fixed-time frequency restoration and active power sharing algorithms are first established. In addition, the detailed implementation process of distributed robust event-triggered control approach is provided. At the end of this paper, considerable amount of various simulations under the unified wide-time-scale framework are conducted to illustrate the performance of the proposed algorithms.