Adaptive Stochastic Control for the Smart Grid

被引：110

作者：

Anderson, Roger N. ^{[1
]}

Boulanger, Albert ^{[1
]}

Powell, Warren B. ^{[2
]}

Scott, Warren ^{[2
]}

机构：

[1] Columbia Univ, Ctr Computat Learning Syst, New York, NY 10027 USA

[2] Princeton Univ, Dept Operat Res & Financial Engn, Princeton, NJ 08544 USA

来源：

PROCEEDINGS OF THE IEEE | 2011年 / 99卷 / 06期

基金：

美国国家科学基金会;

关键词：

Adaptive stochastic control (ASC); approximate dynamic programming (ADP); control systems; Smart Grid; APPROXIMATIONS;

D O I：

10.1109/JPROC.2011.2109671

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1098 / 1115

页数：18

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