Extended-State-Observer-Based Distributed Robust Secondary Voltage and Frequency Control for an Autonomous Microgrid

This paper proposes an extended-state-observer based distributed robust secondary voltage and frequency control for an autonomous microgrid (MG) with inverter-based distributed generators (DGs) considering the uncertainties from models and measurement noise. The MG is considered as a multi-agent sys...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on sustainable energy 2020-01, Vol.11 (1), p.195-205
Main Authors: Ge, Pudong, Dou, Xiaobo, Quan, Xiangjun, Hu, Qinran, Sheng, Wanxing, Wu, Zaijun, Gu, Wei
Format: Article
Language:English
Subjects:
Adaptive algorithms
Adaptive super-twisting algorithm
autonomous microgrids
Computer simulation
Controllers
Distributed generation
distributed robust control
Electric potential
extended state observer
fast terminal sliding mode
feedback linearization
Frequency control
Frequency measurement
Low pass filters
Multiagent systems
Noise
Noise measurement
Parameter uncertainty
Perturbation
Sliding mode control
State observers
Twisting
Uncertainty
Voltage
Voltage control
Voltage measurement
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes an extended-state-observer based distributed robust secondary voltage and frequency control for an autonomous microgrid (MG) with inverter-based distributed generators (DGs) considering the uncertainties from models and measurement noise. The MG is considered as a multi-agent system where each DG is defined as an agent and its controller only requires its own information and the information of its neighbors, but each DG obtains noisy measurements of the states of itself and its neighbors easily due to stochastic noise. Therefore, in this paper, an extended state observer is employed to estimate the accurate state information of each DG, which is significantly influenced by measurement noise. Furthermore, the distributed controllers based on a fast terminal sliding mode surface and an adaptive super-twisting algorithm are designed to track the voltage reference and to fasten the convergence rate against disturbances and uncertainties caused by parameter perturbation. Moreover, the distributed frequency controllers are also designed to restore the frequency and to guarantee the accurate active power sharing without power information of DGs. Finally, the effectiveness of the propose control strategy is illustrated by the simulation of an autonomous MG in MATLAB/Simulink.
ISSN:1949-3029
1949-3037
DOI:10.1109/TSTE.2018.2888562