DocumentCode
267210
Title
A framework for stability analysis of micro-grid consisting of multiple grid-connected-converters
Author
Shulong Tan ; Geng Yang ; Hua Geng
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear
2014
fDate
5-8 Nov. 2014
Firstpage
98
Lastpage
103
Abstract
A stability or resonance analysis of a micro-grid consisting of multiple grid-connected-converters (GCC) with LCL filter is important but complicated, because it is influenced by many factors such as LCL filters of the GCC, the grid impedance and various (nonlinear or even time-variable) loads. It is necessary to construct a framework for revealing and analyzing the main unstable factors and then exploring possible approaches for improving the stability. This paper tries to find a framework, in which a linear model of the system is formatted using the impedance based approach. Based on the model, the impacts of some main factors on system stability are explored. Therefore resonance suppression based on impedance adjusting is presented accordingly. Taking full state feedback control of GCC as an example, simulations of two control cases validate the effectiveness of the current work of the framework.
Keywords
PWM power convertors; distributed power generation; electric impedance; load (electric); power filters; power generation control; power system stability; state feedback; GCC; LCL filter; framework construction; full state feedback control; impedance adjusting based approach; load; main unstable factors; microgrid; multiple grid-connected-converters; resonance analysis suppression; stability analysis improvement; system linear model; three-phase PWM converters; Impedance; Load modeling; Phase locked loops; Power system stability; Resonant frequency; Stability analysis; State feedback; LCL filters; Stability; framework; multiple grid-connected-converters; resonance suppression;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Application Conference and Exposition (PEAC), 2014 International
Conference_Location
Shanghai
Type
conf
DOI
10.1109/PEAC.2014.7037836
Filename
7037836
Link To Document