Software models for smart grid
Pages 42 - 45
Abstract
Smart grid technology is progressing worldwide. Various Countries are investing to transform their traditional power grid to Smart grid. They have started realigning their organization to support a Smart grid vision. At this initial stage some software models are required to quantifiably evaluate, monitor the progress and plan for the realization of a smart grid.
At present some models like Smart Grid Interoperability Maturity Model, Smart Grid Investment Model, Smart Grid Maturity Model and Smart Grid Conceptual Model are available. Smart Grid Interoperability Maturity Model is used to measure the current status of automation in the areas like transmission, distribution and demand side resources. The Smart Grid Investment Model is used in calculating different smart grid investments, along with their strategies. Smart Grid Maturity model is used in planning of utilities in smart grid transformation; prioritize the tasks and measuring their progress at every stage. Smart Grid Conceptual Model is used to analyze different standards and interoperations of smart grid development. A new proposed Smart Grid Monitoring Model will help in understanding smart grid deployment and capability within electric utility companies.
References
[1]
Enrique Santacana, Gary Rackliffe, Le tang, and Xiaoming, "Getting Smart" IEEE power & energy magazine, April. 2010.
[2]
Khosrow Moslehi, Ranjit Kumar, "A Reliability Perspective Of the Smart Grid" IEEE Transactions on. Smart Grid, June. 2010.
[3]
A. Levinson, J. Mater, "Smart Grid Interoperability Maturity Model" Power and Energy Society General Meeting, 2010 IEEE, July. 2010.
[4]
Libao Shi, ZhengXu, "Challenges Of Large Wind Generation Intermittence and Fluctuation for future Smart Grids" Actions on. Smart Grid, June. 2010.
[5]
Smart Grid Interoperability Panel, "Smart grid Conceptual Model" Version 10, March. 2010.
[6]
Przemyslaw Stangierski, Mariusz Przybylik, Krzysztof Jedziniak, Wojciech Luczax, "Smart Grid Ready Concept" International Conference on the European Energy Market, May 2011.
[7]
Chollot, Yves; Biasse, Jean-marc; Malot, Alain; Feeder automation improves medium voltage network operating efficiency, Smart Grids for Distribution, 2008. IET-CIRED. CIRED Seminar 23--24 June 2008
[8]
China Electric Power Research Institute. YU Qingang. Research and Application of Digital Line {Z}. China's Power Development and Technological Innovation. October, 2008.
[9]
Software Engineering Institute,""Smart Grid Maturity Model Update", Press Release Pittsburg, Pa., Sep 2011
[10]
"The Smart Grid: Introduction", US DOE
[11]
Anutosh Maitra, Rahul Walawalkar, Anil Khanna," An Assessment Of Information Technology for power Sector", Tata Infotech Ltd, SEEPZ, 2010.
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Published In
June 2012
60 pages
ISBN:9781467318648
Sponsors
- SIGSOFT: ACM Special Interest Group on Software Engineering
- University of Zurich: University of Zurich
- IEEE CS
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IEEE Press
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Published: 03 June 2012
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