LAPSE:2019.0367
Published Article
LAPSE:2019.0367
Adaptive Droop Control for Microgrids Based on the Synergetic Control of Multi-Agent Systems
Zhiwen Yu, Qian Ai, Xing He, Longjian Piao
February 27, 2019
In this paper, a distributed synergetic control based on multi-agent systems is proposed to solve the problems of frequency and voltage errors, system stability and power sharing accuracy in the traditional droop control of microgrids. Starting with power flow equations, we build the secondary-order dynamic model of DG, which consists of three parts: (1) active power allocation; (2) active power-frequency; and (3) reactive power-voltage droop control. Considering time-delays in communication networks, a leaderless synergetic control algorithm is proposed to allocate the active power in inverse proportion to the droop coefficient, and the synergetic control with a virtual leader is proposed to control the system frequency and voltage to keep at the expected value. Besides, the direct Lyapunov method is introduced to verify the globally asymptotical stability. Moreover, the impacts of communication disturbance are also discussed from the aspects of control precision and system stability. Finally, based on a test microgrid, numerous cases are designed as illustration, and the simulation results validate the proposed method.
Keywords
adaptive droop control, globally asymptotical stability, microgrid, multi-agent system, time-delays
Suggested Citation
Yu Z, Ai Q, He X, Piao L. Adaptive Droop Control for Microgrids Based on the Synergetic Control of Multi-Agent Systems. (2019). LAPSE:2019.0367
Author Affiliations
Yu Z: School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Dongchuan Road, Shanghai 200240, China
Ai Q: School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Dongchuan Road, Shanghai 200240, China
He X: School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Dongchuan Road, Shanghai 200240, China
Piao L: School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Dongchuan Road, Shanghai 200240, China
[Login] to see author email addresses.
Journal Name
Energies
Volume
9
Issue
12
Article Number
E1057
Year
2016
Publication Date
2016-12-15
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en9121057, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2019.0367
This Record
External Link

doi:10.3390/en9121057
Publisher Version
Download
Files
[Download 1v1.pdf] (4.8 MB)
Feb 27, 2019
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
542
Version History
[v1] (Original Submission)
Feb 27, 2019
 
Verified by curator on
Feb 27, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2019.0367
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version