Title :
Controlling the Distributed Energy Resources Using Smart Grid Communications
Author :
Rana, Md Masud ; Li Li
Author_Institution :
Fac. of Eng. & Inf. Technol., Univ. of Technol., Sydney, NSW, Australia
Abstract :
Given the significant concerns regarding carbon emission from the fossil fuels, global warming and energy crisis, the renewable distributed energy resources (DERs) are going to be integrated in the smart grid. This grid can spread the intelligence of the energy distribution and control system from the central unit to the long-distance remote areas, thus enabling accurate state estimation and wide-area real-time monitoring of these intermittent energy sources. This paper proposes a discrete time linear-quadratic regulation (LQR) method to control the state of the micro grid incorporating multiple DERs. Numerical simulations have demonstrated the validity of the scheme using a linear model of DERs. Results indicate that it is better to use the smaller number of step size to control the DER states.
Keywords :
discrete time systems; distributed power generation; fossil fuels; global warming; linear quadratic control; numerical analysis; power distribution control; smart power grids; state estimation; central unit; discrete-LQR method; discrete-time linear-quadratic regulation method; distributed energy resource control; energy crisis; fossil fuels; global warming; long-distance remote areas; microgrid; multiple DER; numerical simulations; renewable distributed energy resources; smart grid communications; state estimation; wide-area real-time monitoring; Density estimation robust algorithm; Microgrids; Power system stability; Sensors; Smart grids; Voltage control; Wireless sensor networks; Discrete-time linear quadratic regulation; distributed energy resources; smart grid; wireless sensor network;
Conference_Titel :
Information Technology - New Generations (ITNG), 2015 12th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-8827-3
DOI :
10.1109/ITNG.2015.85