Title :
Adaptive Stochastic Control for the Smart Grid
Author :
Anderson, Roger N. ; Boulanger, Albert ; Powell, Warren B. ; Scott, Warren
Author_Institution :
Center for Comput. Learning Syst., Columbia Univ., New York, NY, USA
fDate :
6/1/2011 12:00:00 AM
Abstract :
Approximate dynamic programming (ADP) driven adaptive stochastic control (ASC) for the Smart Grid holds the promise of providing the autonomous intelligence required to elevate the electric grid to efficiency and self-healing capabilities more comparable to the internet. To that end, we demonstrate the load and source control necessary to optimize management of distributed generation and storage within the Smart Grid.
Keywords :
adaptive control; distributed power generation; dynamic programming; load regulation; smart power grids; stochastic systems; ADP; ASC; Internet; adaptive stochastic control; approximate dynamic programming; distributed generation; electric grid; load control; self-healing capability; smart grid; source control; Control systems; Electricity; Energy storage; Real time systems; Smart grids; Stochastic processes; Wind power; Adaptive stochastic control (ASC); Smart Grid; approximate dynamic programming (ADP); control systems;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2011.2109671
