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dc.creatorAlferidi, Ahmad 1980-
dc.date.accessioned2018-08-17T20:38:28Z
dc.date.available2018-08-17T20:38:28Z
dc.date.created2018-08
dc.date.issued2018-08-17
dc.date.submittedAugust 2018
dc.identifier.urihttp://hdl.handle.net/10388/9594
dc.description.abstractThe contribution of solar power in electric power system has been growing rapidly due to the significant negative impact of carbon emissions generated by conventional power sources. Large scale photovoltaic (PV) and concentrated solar power (CSP) have been installed around the world. However, these technologies involve major concerns regarding the reliability of system generation. The output power generation from solar technologies acts quite differently from that of conventional generation. The PV and CSP are composed of major components that have different failure characteristics. The interactions of the different component topologies in various commercially available PV system configurations will significantly influence the reliability of a PV system. Moreover, the output power of PV and CSP are highly variable and depend on the solar irradiation resulting in discontinuous and variable electricity generation. All these factors have a direct impact on the overall generation system adequacy. It is, therefore, vital to incorporate these factors in the reliability modeling of PV and CSP systems. An analytical probabilistic technique is employed in this thesis to develop detailed reliability models of PV and CSP systems. This thesis investigates the impact of PV/CSP system components on the reliability performance of PV/CSP systems. Different studies were conducted on test systems in this thesis considering system load variation, growth in solar capacity, geographical location, and seasonal effects. These analyses have been expanded to quantify the comparative reliability of a generation system with large scale PV and CSP. The power output of PV is also affected by dust accumulation on PV panel surfaces. The deposition of dust on PV panels will reduce the net solar irradiation absorbed by the solar panel, and lower the solar panel efficiency. This project is extended to incorporate the cumulative dust in the reliability model of the PV system. A regression model is adopted to develop a probabilistic model of PV power reduction caused by cumulative dust. This work also investigates the impact of a dust-removal strategy on the overall system adequacy. The concept and methodology discussed in this thesis can be used effectively by system planners and electric utilities to evaluate the reliability benefit of utilizing solar power in existing generation systems.
dc.format.mimetypeapplication/pdf
dc.subject(LOEE) Loss of Energy Expectation (LOLE) Loss of Load Expectation
dc.titleDETAILED RELIABILITY MODELS OF INTEGRATED SOLAR POWER TECHNOLOGIES IN ELECTRIC POWER SYSTEMS
dc.typeThesis
dc.date.updated2018-08-17T20:38:28Z
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Saskatchewan
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)
dc.type.materialtext
dc.contributor.committeeMemberBum Ko, Dr. Seok
dc.contributor.committeeMemberTeng, Dr. Daniel
dc.contributor.committeeMemberFaried , Dr. Sherif


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