Advanced SVC intelligent control to improve power quality in Microgrids

Author

Calderon, J.E. ; Chamorro, H.R. ; Ramos, Gustavo

Author_Institution

Dept. of Electr. Eng. & Electron., Univ. de los Andes, Bogota, Colombia

fYear

2012

fDate

25-26 Oct. 2012

Firstpage

1

Lastpage

6

Abstract

There are certain problems within Microgrids related to the reactive power, due to the installed Distributed Generation (DG) and the non-linear loads. A Microgrid is implemented with PSCAD/EMTDC software and three study cases, or operational modes of the Microgrid, are simulated. Initially a characterization of the power flows through the Microgrid is done, using the P-Q Theory, which facilitates the recognition of the main power issues that have to be compensated in the Microgrid. Then an SVC is implemented, using a control strategy based on fuzzy logic and genetic algorithms, in order to mitigate those power issues identified in the power flow characterization. It is important to take into account that all the simulations (the characterization and the compensation) are made for the three study cases running PSCAD and Matlab simultaneously.

Keywords

distributed power generation; fuzzy logic; genetic algorithms; load flow; power supply quality; reactive power control; Matlab; P-Q Theory; PSCAD/EMTDC software; SVC; advanced SVC intelligent control; distributed generation; fuzzy logic; genetic algorithms; microgrids; non-linear loads; power flow characterization; power quality; reactive power; Fuzzy logic; Genetic algorithms; Hysteresis; MATLAB; Microgrids; Reactive power; Static VAr compensators; Distributed Generation; Fuzzy Logic Control; Genetic Algorithms; Smart Microgrids; Static Var Compensator;

fLanguage

English

Publisher

ieee

Conference_Titel

Alternative Energies and Energy Quality (SIFAE), 2012 IEEE International Symposium on

Conference_Location

Barranquilla

Print_ISBN

978-1-4673-4653-5

Type

conf

DOI

10.1109/SIFAE.2012.6478880

Filename

6478880