Title :
Advanced microgrid power control through grid-connected inverters
Author :
Dung H Pham;Gregory Hunter;Li Li;Jianguo Zhu
Author_Institution :
Centre for Electrical Machines and Power Electronics, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia
Abstract :
Recently, researches on microgrids have attracted more and more attention all over the world. Numerous studies and experiments about microgrid converters have been done. This paper presents a method to improve the power quality by controlling the real and reactive power flow between the main grid and the microgrid through the grid-interfaced inverter. Firstly, the desired values of Id and Iq can be obtained by transforming the currents into d-q stationary frame and decoupling the active and reactive power for the use of both traditional proportional-integral (PI) and feedforward control. Besides the traditional direct power control (DPC), model predictive control (MPC) has emerged as one powerful method to obtain the active and reactive power needed directly with some clear advantages to the system such as higher reliability and enhanced stability. Both PI with feedforward and MPC methods to control the grid-interfaced inverter have been studied and simulated in this paper.
Keywords :
"Decision support systems","Conferences","Feedforward neural networks","Microgrids","Reactive power","Inverters"
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
DOI :
10.1109/APPEEC.2015.7380897