RELIABILITY CONSTRAINED OPTIMAL SIZING OF RENEWABLE ENERGY RESOURCES AND CAPACITY CREDIT EVALUATION

dc.contributor.advisorSingh, Chanan
dc.contributor.authorMuaddi, Saad Ahmed
dc.date.accessioned2023-09-04T15:03:32Z
dc.date.available2023-09-04T15:03:32Z
dc.date.issued2022-12-04
dc.description.abstractBurning fossil fuels by conventional generators is leading to greenhouse gases contributing to the acceleration of the global climate change. To mitigate such a dilemma, conventional generators need to be replaced by renewable energy sources (RES), i.e, wind turbines (WT), photovoltaic (PV), and battery energy storage systems (BESS). To that end, the integration of RES with the grid has been given great attention over the past few decades. Nonetheless, the interment nature of wind speed and solar irradiation, which results in frequency and voltage deviations as well as variation in power, make high level of the RES integration challenging. To plan the integration of these variable power resources, the concept of capacity credit has been extensively studied and analyzed.
dc.format.extent101
dc.identifier.otherdoi: 10.1109/ACCESS.2022.3188676.
dc.identifier.urihttps://hdl.handle.net/20.500.14154/69060
dc.language.isoen_US
dc.publisherIEEE
dc.subjectcapacity credit capacity value
dc.subjecteffective load carrying capability
dc.subjectequivalent firm capacity
dc.subjecthybrid PV-WT-battery system
dc.subjectsystem adequacy
dc.subjectexpected energy not served
dc.subjectloss of load expectation
dc.subjecthourly loss of load
dc.subjectdemand response
dc.subjectreliability
dc.titleRELIABILITY CONSTRAINED OPTIMAL SIZING OF RENEWABLE ENERGY RESOURCES AND CAPACITY CREDIT EVALUATION
dc.typeThesis
sdl.degree.departmentElectrical and Computer Engineering
sdl.degree.disciplineComputer
sdl.degree.grantorTexas A&M University
sdl.degree.nameDoctor of Philosophy

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