An Intelligent Grid Network Based on Cloud Computing Infrastructures

Author:

Annamalai Suresh1,Udendhran R. 2,Vimal S. 3

Affiliation:

1. Nehru Institute of Engineering and Technology, India

2. Bharathidasan University, India

3. National Engineering College, India

Abstract

This chapter covers important topics in development of efficient energy girds. Inefficient power generation, unbalanced consumption patterns that lead to underutilization of expensive infrastructure on the one hand, and severe overload on the other, as well as urgent issues of national and global concern such as power system security and climate change are all driving this evolution. As the smart grid concept matures, we'll see dramatic growth in green power production: small production devices such as wind turbines and solar panels or solar farms, which have fluctuating capacity outside of the control of grid operators. Small companies that specialize in producing power under just certain conditions will boom in forthcoming years. Energy is stored in the storage during low-cost periods, and the stored energy is used during high-cost periods to avoid the expensive draw from the grid. The authors evaluate the impact of large-scale energy storage adoption on grid electricity demand.

Publisher

IGI Global

Reference9 articles.

1. On learning algorithm selection for classification

2. Budde. (2015). Smart Grid Australia Provided the Vision for the Smart Grid/Smart City Project. Smart Grid Australia.

3. Grid Intelligent Grid. (n.d.). Technical Report. Retrieved from http://www.igrid.net.au/

4. Shafiullah, Oo, Jarvis, Ali, & Wolfs. (2016). Prospects of Renewable Energy—A Feasibility Study in the Australian Context. Journal of Renewable Energy, 39(1).

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