Title :
Innovative smart grid control technologies
Author :
Venayagamoorthy, Ganesh Kumar
Author_Institution :
Real-Time Power & Intell. Syst. Lab., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
Abstract :
The smart electric power grid will evolve into a very complex adaptive system under semi-autonomous distributed control. It will be spatially and temporally complex, non-convex, non-linear and non-stationary, with lots of variability and uncertainties beyond what the traditional power system experiences today. The distributed integration of intermittent sources of energy and energy storage to a power grid further adds complexity and challenges to modeling, control and optimization of the grid. Innovative control technologies are needed to handle the growing complexity of a smart grid, maximize the penetration of renewable energy, and provide maximum utilization of available energy storage, especially plug-in electric vehicles. In this panel paper, innovative control technologies, which are dynamic, stochastic, computational and scalable, and which show promise for achieving the goals of a smart grid, are presented.
Keywords :
power system control; smart power grids; stochastic systems; adaptive system; dynamic control; innovative control technology; scalable control; semiautonomous distributed control; smart electric power grid; smart grid control technology; stochastic control; Awards activities; Computational intelligence; Dynamic programming; Optimization; Power system dynamics; Smart grids; Vehicle dynamics; computational methods and intelligence; emission reductions; information technology; intelligent control; plug-in vehicles; smart grid; sustainable energy; virtual FACTS; wind farms;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6039883