NDLI: Area-Load Based Pricing in DSM Through ANN and Heuristic Scheduling

Content Provider	IEEE Xplore Digital Library
Author	Kunwar, N. Yash, K. Kumar, R.
Copyright Year	2010
Abstract	To meet the fast growing demand of energy, in addition with increased generation, improved efficiency, stability and flexibility, smart techniques need to be adopted that are in compliance with the environment and energy conservation. In this paper, we present an autonomous demand-side energy management to encourage users to willingly modify their electricity consumption without compromising with service quality and customer satisfaction using load forecasting. The projected distributed demand side energy management (DSM) strategy gives each consumer an option to simply apply its best response strategy to current electric load and tariff in the power distribution system. Using NSGA II optimization technique on load prediction, it is obtained that an area-load based pricing method is beneficial for both electric utility and consumer. Finally, simulation results substantiate that the proposed approach can maximize load factor and reduce total energy cost as well as user's daily electricity charges.
Starting Page	1275
Ending Page	1281
Page Count	7
File Size	1916368
File Format	PDF
ISSN	19493053
Volume Number	4
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pricing Artificial neural networks Cost function Energy consumption Gaussian distribution Electricity variable pricing ANN cost minimization DSM load factor load scheduling NSGA II normal distribution penalty rebate
Content Type	Text
Resource Type	Article
Subject	Computer Science

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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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