DocumentCode :
151429
Title :
Stability analysis of a DC microgrid with master-slave control structure
Author :
Li Guo ; Yibin Feng ; Xialin Li ; Chengshan Wang ; Yunwei Li
Author_Institution :
Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
fYear :
2014
fDate :
14-18 Sept. 2014
Firstpage :
5682
Lastpage :
5689
Abstract :
Nowadays there is an increasing interest on dc microgrid for its higher energy efficiency and higher reliability as compared to the ac system. This paper addresses the stability problem in a dc microgrid with master-slave control structure. Considering the discrete sampling and control algorithm in a digital system, the small-signal models of this dc microgrid have been derived in the z plane. Eigenvalue analysis results show that the system stability and transient response will be affected by the variation of the dc load parameters, the number of slave distributed generations (DGs), and the type of dc load. A centralized oscillation suppression controller, which is composed of a proportional compensator followed by a bandpass filter, is proposed to overcome the unstable oscillations caused by different eigenvalues. The validity of the proposed approach is confirmed by simulations.
Keywords :
band-pass filters; compensation; distributed power generation; eigenvalues and eigenfunctions; power distribution control; power system stability; bandpass filter; centralized oscillation suppression controller; control algorithm; dc load; dc microgrid; digital system; discrete sampling; eigenvalue analysis; master-slave control structure; proportional compensator; slave distributed generations; small-signal models; stability analysis; system stability; transient response; Eigenvalues and eigenfunctions; Load modeling; Mathematical model; Microgrids; Oscillators; Power system stability; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2014 IEEE
Conference_Location :
Pittsburgh, PA
Type :
conf
DOI :
10.1109/ECCE.2014.6954180
Filename :
6954180
Link To Document :
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