Innovative Smart Grid Control Technologies

被引:0
作者
Venayagamoorthy, Ganesh Kumar [1 ]
机构
[1] Missouri Univ Sci & Technol, Real Time Power & Intelligent Syst Lab, Rolla, MO 65409 USA
来源
2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING | 2011年
关键词
computational methods and intelligence; emission reductions; information technology; intelligent control; plug-in vehicles; smart grid; sustainable energy; virtual FACTS; wind farms;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
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页数:5
相关论文
共 19 条
[1]  
Amin SM, 2015, IEEE power and energy magazine, DOI [10.1109/MPAE.2005.1507024, 10.1109/MPAE.2005.150702]
[2]  
[Anonymous], NSF WORKSH OUTR TUT
[3]  
[Anonymous], HDB LEARNING APPROXI
[4]  
[Anonymous], P 2011 IEEE S SER CO
[5]  
[Anonymous], GRAND CHALL ENG
[6]  
[Anonymous], 2008, The Smart Grid: An Introduction
[7]  
[Anonymous], 2002, Computational Intelligence an Introduction
[8]  
[Anonymous], HB LEARNING APPROXIM
[9]  
[Anonymous], EUR TECHN PLATF EL N
[10]  
[Anonymous], NIST FRAM ROADM SMAR