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dc.contributor.authorKhan, Md Mahbubur Rahman
dc.description.abstractThis paper models the responses of three different types of consumers based on their sensitivity to dynamic price. Simulated household demand data is used to model the dynamic price of electricity. These prices are then used to experiment responses of consumers in a centralized dynamically priced power market. It is taken into consideration that some consumers will only have access to imperfect information but they can still alter their usage and benefit from the associated cost savings. Analysis based on a developed software system found that sensitive consumers, given full information and control with tools such as a Home Area Network and an Advanced Metering Infrastructure, could gain significant cost savings. Due to the reduction of the overall peak load caused by the shift in consumer demand, the electricity generation and distribution infrastructure could see significant savings as well.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleModeling of Consumer Responses to Dynamic Pricing in a Smart Griden_US
dc.typeMaster's paperen_US
dc.date.accessioned2012-04-27T16:42:24Z
dc.date.available2012-04-27T16:42:24Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10365/19625
dc.subject.lcshElectric utilities -- Cost effectiveness.en_US
dc.subject.lcshHome computer networks.en_US
dc.subject.lcshElectric power distribution -- Energy conservation.en_US
dc.subject.lcshSmart power grids.en_US
dc.subject.lcshElectric utilities -- Rates -- Peak-load pricing.en_US
dc.subject.lcshElectric utilities -- Rates -- Time-of-use pricing.en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeEngineeringen_US
ndsu.departmentComputer Scienceen_US
ndsu.programComputer Scienceen_US
ndsu.advisorNygard, Kendall


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