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Reseach Article

Leveraging a Model towards Efficient Energy Management: A Survey

by Nikita Parab, Himanshu Pandita, Karan Patel, Prashant Brahme, Gresha Bhatia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 15
Year of Publication: 2015
Authors: Nikita Parab, Himanshu Pandita, Karan Patel, Prashant Brahme, Gresha Bhatia
10.5120/ijca2015907351

Nikita Parab, Himanshu Pandita, Karan Patel, Prashant Brahme, Gresha Bhatia . Leveraging a Model towards Efficient Energy Management: A Survey. International Journal of Computer Applications. 131, 15 ( December 2015), 14-18. DOI=10.5120/ijca2015907351

@article{ 10.5120/ijca2015907351,
author = { Nikita Parab, Himanshu Pandita, Karan Patel, Prashant Brahme, Gresha Bhatia },
title = { Leveraging a Model towards Efficient Energy Management: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 15 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number15/23526-2015907351/ },
doi = { 10.5120/ijca2015907351 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:47.682103+05:30
%A Nikita Parab
%A Himanshu Pandita
%A Karan Patel
%A Prashant Brahme
%A Gresha Bhatia
%T Leveraging a Model towards Efficient Energy Management: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 15
%P 14-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper focuses on the shortcomings of the existing power management system and proposes an alternate methodology to achieve quick and efficient power restoration. Various restoration algorithms and technologies such as Q-learning, clustering algorithm and decision trees are discussed in this paper. Two way communication mechanism (ICT) is implemented with the help of Smart Grids which manages the ever changing demands of energy by continuously monitoring and controlling the grid’s transmission system. Consumers get an opportunity to actively participate in restoration plans with the help of ICT. The proposed system will help to identify, isolate and restore the faults in the shortest time possible with the help of ICT.

References
  1. http://pserc.wisc.edu/research/futuregrid.aspx
  2. http://www.cse.wustl.edu/~jain/cse57410/ftp/grid2/index.html
  3. https://www.smartgrid.gov/the_smart_grid/smart_grid.html
  4. http://www.energylens.com/articles/energy-management
  5. Mohammad Jawad Ghorbani et al,”A Multi agent Design for Power DistributionSystems Automation”,IEEE proceeding-2015.
  6. Jawad Ghorbani et al,”A MAS Learning Framework for Power Distribution System Restoration”, IEEE proceeding 2014.
  7. Sridhar Chouhan et al,“Hybrid Multi Agent approach for Power Distribution System Restoration”, IEEE proceedings 2013.
  8. Anisha K et al,”Application of Multi Agent System for Distribution System Automation”,IEEE proceeding-2014.
  9. Rajan Kumar Mishra et al, “Power System Restoration in Smart Grid Environment”, IEEE proceedings-2014.
  10. R. Belkacemi et al, “Restoration of Smart Grid Distribution System using Two-Way Communication Capability”, IEEE proceedings-2013.
  11. Ziang Zhang et al, “Decentralizing the Economic Dispatch Problem using a Two-Level Incremental Cost Consensus Algorithm in a Smart Grid Environment”, IEEE proceedings-2011.
  12. Youssef Oualmakran et al, “Opportunities and challenges for smart power restoration and reconfiguration”, IEEE proceedings-2011.
  13. Wan-Yu Yu et al,”Co-ordinating a Society of Switch Agents for Power Distribution Service Restoration in a Smart Grid”,IEEE proceeding-2011.
  14. Jianwen Du et al,” Power Supply Restoration Algorithm of Multi-Contact Distribution Network with Distributed Intelligent Feeder Automation System”, IEEE proceeding-2014.
  15. Biljana Matic-Cuka et al,” Improving Smart Grid Operation with NewHierarchically Coordinated Protection Approach”, IEEE proceeding-2012.
  16. Chaiyod Pirak et al,”Recent Advances in Communication Technologies for Smart Grid Application: A Review”,IEEE proceeding 2014.
  17. Afshan Mulla et al,”The Wireless Technologies for Smart Grid Communication: A Review”,IEEE proceeding 2015.
  18. Mohammad Jawad Ghorbani et al,”A Multi agent Design for Power DistributionSystems Automation”, IEEE proceeding-2015.
  19. Z. Song et al,”Restoration of a Smart Distribution System”,IEEE proceeding-2010.
  20. K. Uma Rao et al, “A Novel Grading Scheme for Loads to Optimize Load Shedding Using Genetic Algorithm in a Smart Grid Environment”, IEEE proceeding- 2013.
  21. Murat Kuzlu et al, “Assessment of Communication Technologies and Network Requirements for Different Smart Grid Applications”, IEEE proceedings-2013.
Index Terms

Computer Science
Information Sciences

Keywords

Smart Grids Agents Self-healing grid islanding Multi Agent System (MAS)