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Modeling of Consumer Responses to Dynamic Pricing in a Smart Grid

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dc.contributor.author Khan, Md Mahbubur Rahman
dc.description.abstract This 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.title Modeling of Consumer Responses to Dynamic Pricing in a Smart Grid en_US
dc.date.accessioned 2012-04-27T16:42:24Z
dc.date.available 2012-04-27T16:42:24Z
dc.date.issued 2012-04-27
dc.identifier.uri http://hdl.handle.net/10365/19625
dc.date 2012 en_US
dc.subject Electric power distribution -- Automation. en_US
dc.subject Smart power grids. en_US
dc.subject Electric utilities -- Rates -- Peak-load pricing. en_US
dc.subject Electric utilities -- Rates -- Time-of-use pricing. en_US
dc.thesis.degree Master of Science. en_US
dc.contributor.advisor Nygard, Kendall en_US
dc.subject.course Master of Science / Computer Science, College of Science and Mathematics, 2012. en_US
dc.subject.course Computer Science.

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