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dc.contributor.authorPurohit, Prarthana-
dc.date.accessioned2015-08-14T07:41:17Z-
dc.date.available2015-08-14T07:41:17Z-
dc.date.issued2015-06-01-
dc.identifier.urihttp://hdl.handle.net/123456789/6014-
dc.description.abstractEnergy is one of the most vital necessities or requirements whether it is consumption at home, utilization in an industry or any other service oriented organization. With the increasing need, the demand of energy too is increasing day by day however no major integration of renewable energy sources can be made out. By implementing innovative Demand Response Management System Optimum utilization of existing resources can be done and hence gap between demand and supply can be minimized. Demand Response is essential for balancing the supply and demand relationship by shifting electricity demand from peak demand periods to off-peak demand periods and hence minimizes the electricity generation from fossil fuels and protect the environment. On the basis of the load forecasting, load curve is drawn and by implementing automated DR program, optimum scheduling of appliances is done with the help of LabVIEW which minimizes the cost of energy. Mixed Integer Linear Programming method is used to minimize the cost for optimization of appliances schedule. Shifting of the load is done by considering Priority of load, Comfort level, Time of Use tariff, Flexibility, DR event and Availability of renewable sources. Survey is done for residential, commercial and industrial load and DR is implemented on these types of loads too.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries13MEEN06;-
dc.subjectElectrical 2013en_US
dc.subjectProject Report 2013en_US
dc.subjectElectrical Project Reporten_US
dc.subjectProject Reporten_US
dc.subject13MEEen_US
dc.subject13MEENen_US
dc.subject13MEEN06en_US
dc.subjectESen_US
dc.subjectES 2013en_US
dc.subjectEE (ES)en_US
dc.subjectEnergy Systemen_US
dc.titleDemand Response Management Systemen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, EE (ES)

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