Voltage Stability Enhancement for Microgrid Using an SVC

  • Dinh-Nhon Truong Hochiminh City University of Technology and Education, Hochiminh, Vietnam
  • Mi Sa Nguyen Thi Hochiminh City University of Technology and Education, Hochiminh, Vietnam
  • Van-Tri Bui Hochiminh City Vocational College of Technology, Hochiminh, Vietnam
  • Thanh-Liem Tran Tay Ninh Vocational College, Vietnam

Abstract

This paper presents comparative simulation results of a Microgrid (MG) system using a Static Var Compensator (SVC) for improving the voltage stability of the studied system. An Adaptive Neural Fuzzy Inference System (ANFIS) controller is designed based on the feedback signals to control the proposed SVC. For simplicity, the studied MG system can be modeled as an equivalent small scale wind turbine generator (WTG) combine with a Solar Photovoltaic (PV) and a Battery that connected to the common AC bus. A time-domain approach based on nonlinear model simulations is systematically performed. By observing the simulation results it can be concluded that the designed ANFIS controller for SVC can offer better damping characteristics of the studied MG system under severe operating conditions

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Published
2020-04-30
How to Cite
TRUONG, Dinh-Nhon et al. Voltage Stability Enhancement for Microgrid Using an SVC. Journal of Science and Technology: Issue on Information and Communications Technology, [S.l.], v. 18, n. 4.2, p. 39-44, apr. 2020. ISSN 1859-1531. Available at: <http://ict.jst.udn.vn/index.php/jst/article/view/93>. Date accessed: 24 nov. 2020. doi: https://doi.org/10.31130/ict-ud.2020.93.