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dc.contributor.authorMuchayi, Maxwell.en_US
dc.date.accessioned2014-10-21T12:33:27Z
dc.date.available1999
dc.date.issued1999en_US
dc.identifier.otherAAINQ39324en_US
dc.identifier.urihttp://hdl.handle.net/10222/55617
dc.descriptionElectricity rate structures has been an area of intense research, undergoing dramatic changes as new and expanded service options are added. Real-time pricing of electricity is one of the options that maximize the economic efficiency of the power system. Under real-time pricing, the electricity prices to the customer follow as closely as technically practical, the real cost of electricity at the time that it is produced and supplied.en_US
dc.descriptionOne thing which is overlooked at times in determining a rate policy in power supply, is the fact that the cost difference in delivering a kilowatt-hour in the same territory is not just because of the cost of generating electricity. The cost difference, primarily lies in transmitting power from its origin to the place of demand. The objective of this work, is specifically to address the incorporation of transmission costs in addition to fuel costs using an Optimal Power Flow (OPF) algorithm in establishing electricity rate structures using real-time pricing under a regulated/deregulated (wheeling) environment. The cost of transmission and the methodology by which it is computed, is therefore, a high priority problem in this thesis. The transmission costs are determined by assigning the same trial price k to every unit of real and reactive power flows respectively in the network. The hourly real-time pricing is the base for the proposed algorithm and the analysis is over a time period of twenty-four hours. Unlike the algorithms which use DC models which capture only the real power rates, a particular feature of the proposed algorithm is that it captures both wheeling or non-wheeling rates of real and reactive power. The algorithm is implemented on standard IEEE test systems varying in size from a 5-bus system to a 57-bus system.en_US
dc.descriptionThesis (Ph.D.)--DalTech - Dalhousie University (Canada), 1999.en_US
dc.languageengen_US
dc.publisherDalhousie Universityen_US
dc.publisheren_US
dc.subjectEconomics, Commerce-Business.en_US
dc.subjectEngineering, Electronics and Electrical.en_US
dc.titleTransmission consideration-based electricity rates using optimal power flows.en_US
dc.typetexten_US
dc.contributor.degreePh.D.en_US
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