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The Smart Grid: Enabling Energy Efficiency and Demand Response
Abstract
The power system has often been cited as the greatest and most complex machine ever built, yet it is predominantly a mechanical system. Technologies and intelligent systems are now available that can significantly enhance the overall functionality of power distribution and make it ready to meet the needs of the 21st century. This book explains how sensors, communications technologies, computational ability, control, and feedback mechanisms can be effectively combined to create this new, continually adjusting "smart grid" system. It provides an understanding of both IntelliGridSM architecture and EnergyPortSM as well as how to integrate intelligent systems to achieve the goals of reliability, cost containment, energy efficiency in power production and delivery, and end-use energy efficiency.
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Cited by
An overview of Demand Response: Key-elements and international experience
Paterakis, N. G., Erdinç, O., & Catalão, J. P. S. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.11.167 · Cited by 640
Erdinc, O., Paterakis, N. G., Mendes, T. D. P., Bakirtzis, A. G., & P. S. Catalao, J. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2352650 · Cited by 462
Flexibility in future power systems with high renewable penetration: A review
Alizadeh, M. I., Parsa Moghaddam, M., Amjady, N., Siano, P., & Sheikh-El-Eslami, M. K. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.200 · Cited by 389
López, M. A., de la Torre, S., Martín, S., & Aguado, J. A. (2015) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2014.07.065 · Cited by 221
A multi-objective optimization problem for allocating parking lots in a distribution network
Moradijoz, M., Parsa Moghaddam, M., Haghifam, M. R., & Alishahi, E. (2013) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2012.10.041 · Cited by 211
Metadata
- Authors
- Gellings, C. W.
- Venue
- River Publishers eBooks
- Publisher
- River Publishers
- Published
- 2020-12-17
- OpenAlex
- W1568685199
- Cited by
- 439
- References
- 0
- Type
- reference entry
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
