NDLI: A Market Based Distributed Optimization for Power Allocation in Smart Grid

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Homchaudhuri, Baisravan Kumar, Manish Devabhaktuni, Vijay
Copyright Year	2011
Abstract	The potential of Smart Grid in bringing about a revolutionary change in the production, distribution, and utilization of power has generated much attention among producers and consumers of electric power, policy makers as well as researchers. However, before a smart grid can become fully functional, it requires technological advancements in a number of interdisciplinary domains. In particular, the usage of renewable energy sources is envisioned to result in a massively distributed power generation and distribution system composed of a large number of generating stations operating on disparate renewable technologies. Even though smart grid facilitates run-time optimal allocation of power via extensive instrumentation and information accessibility, the process of optimal power routing becomes challenging due to the massively distributed nature of generation facilities and consumption sites, and due to uncertainty caused by inherent random fluctuations in generation. In this paper, a Market Based technique has been presented for carrying out the optimal allocation for efficient utilization of the energy produced in a Smart Grid. The Market Based Resource Allocation is inspired by concepts from the economic market, where resources are allocated to activities through the process of competitive buying and selling. In the proposed technique, the energy consumers act as the potential energy buyers and the energy producers act as the energy sellers. The paper evaluates the proposed Market Based technique via a number of simulated scenarios of energy consumers and producers in a Smart Grid. The proposed technique optimizes the transmission loss of electric power distribution. Simulation results of the proposed approach are presented at the end of this paper.
Sponsorship	Dynamic Systems and Control Division
Starting Page	735
Ending Page	742
Page Count	8
File Format	PDF
ISBN	9780791854754
DOI	10.1115/DSCC2011-6140
Volume Number	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 1
Conference Proceedings	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control
Language	English
Publisher Date	2011-10-31
Publisher Place	Arlington, Virginia, USA
Access Restriction	Subscribed
Subject Keyword	Potential energy Uncertainty Resource allocation Electricity distribution Instrumentation Distributed power generation Optimization Electricity (physics) Renewable energy sources Simulation results Fluctuations (physics) Power stations Smart grids
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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