Abstract
A Nonlinear droop control has been introduced to establish an effective power sharing between the distributed generators without the need of communication links in microgrids (MGs). However, one of the missing studies in the literature is the effects of the nonlinear droop relations on the stability of the MGs. In this paper, the stability of an inverter based MG operating with the nonlinear frequency droop-control has been analyzed. Firstly, a particle swarm optimization technique (PSO) was used to optimize the nonlinear frequency droop relations for minimizing the operating cost of the MG. Secondly, a complete small-signal state-space model of the MG system with the optimized nonlinear droop relations has been developed and the model is updated periodically. The stability of the system is then checked automatically at different operating points. Small signal stability analysis of an islanded microgrid were performed using MATLAB/Simulink and the results were experimentally verified on an MG setup.
| Original language | English |
|---|---|
| Title of host publication | APEC 2018 - 33rd Annual IEEE Applied Power Electronics Conference and Exposition |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3333-3339 |
| Number of pages | 7 |
| Volume | 2018-March |
| ISBN (Electronic) | 9781538611807 |
| DOIs | |
| Publication status | Published - 18 Apr 2018 |
| Event | 33rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2018 - San Antonio, United States Duration: 4 Mar 2018 → 8 Mar 2018 |
Other
| Other | 33rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2018 |
|---|---|
| Country | United States |
| City | San Antonio |
| Period | 4/3/18 → 8/3/18 |
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Keywords
- MG stability
- Microgrids
- Nonlinear droop control
- Particle swarm optimization
- Small-signal modelling
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
A complete small signal modelling and adaptive stability analysis of nonlinear droop-controlled microgrids. / Abdelgabir, Hassan; Boynuegri, Ali R.; Elrayyah, Ali; Sozer, Yilmaz.
APEC 2018 - 33rd Annual IEEE Applied Power Electronics Conference and Exposition. Vol. 2018-March Institute of Electrical and Electronics Engineers Inc., 2018. p. 3333-3339.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A complete small signal modelling and adaptive stability analysis of nonlinear droop-controlled microgrids
AU - Abdelgabir, Hassan
AU - Boynuegri, Ali R.
AU - Elrayyah, Ali
AU - Sozer, Yilmaz
PY - 2018/4/18
Y1 - 2018/4/18
N2 - A Nonlinear droop control has been introduced to establish an effective power sharing between the distributed generators without the need of communication links in microgrids (MGs). However, one of the missing studies in the literature is the effects of the nonlinear droop relations on the stability of the MGs. In this paper, the stability of an inverter based MG operating with the nonlinear frequency droop-control has been analyzed. Firstly, a particle swarm optimization technique (PSO) was used to optimize the nonlinear frequency droop relations for minimizing the operating cost of the MG. Secondly, a complete small-signal state-space model of the MG system with the optimized nonlinear droop relations has been developed and the model is updated periodically. The stability of the system is then checked automatically at different operating points. Small signal stability analysis of an islanded microgrid were performed using MATLAB/Simulink and the results were experimentally verified on an MG setup.
AB - A Nonlinear droop control has been introduced to establish an effective power sharing between the distributed generators without the need of communication links in microgrids (MGs). However, one of the missing studies in the literature is the effects of the nonlinear droop relations on the stability of the MGs. In this paper, the stability of an inverter based MG operating with the nonlinear frequency droop-control has been analyzed. Firstly, a particle swarm optimization technique (PSO) was used to optimize the nonlinear frequency droop relations for minimizing the operating cost of the MG. Secondly, a complete small-signal state-space model of the MG system with the optimized nonlinear droop relations has been developed and the model is updated periodically. The stability of the system is then checked automatically at different operating points. Small signal stability analysis of an islanded microgrid were performed using MATLAB/Simulink and the results were experimentally verified on an MG setup.
KW - MG stability
KW - Microgrids
KW - Nonlinear droop control
KW - Particle swarm optimization
KW - Small-signal modelling
UR - http://www.scopus.com/inward/record.url?scp=85046962898&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046962898&partnerID=8YFLogxK
U2 - 10.1109/APEC.2018.8341581
DO - 10.1109/APEC.2018.8341581
M3 - Conference contribution
VL - 2018-March
SP - 3333
EP - 3339
BT - APEC 2018 - 33rd Annual IEEE Applied Power Electronics Conference and Exposition
PB - Institute of Electrical and Electronics Engineers Inc.
ER -