UNCONVENTIONAL ENERGY SOURCES IN POWER SYSTEM RELIABILITY EVALUATION
Date
1988-02
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Degree Level
Doctoral
Abstract
This thesis presents analytical and Monte Carlo simulation methods for modelling non-conventional energy sources in power system reliability evaluation. Conventional generating capacity reliability studies assume that there are no inherent energy limitations and therefore concentrate on considering the effect of unit forced outages and uncertain load requirements. A generating system may fail to supply the load demand due to a shortage of capacity associated with equipment outages or due to a shortage of basic energy resources or both. Conventional models usually ignore the effect of energy shortages on the basis that the sufficient energy resources will be held in reserve for use in critical periods. The assumption of abundant energy may not, however, be valid and it is essential that in these cases, energy limitations associated with generating units should be included in
conventional studies.
In recent years, escalation in the cost of energy derived from fossil and nuclear fuels has caused an increased interest in the development and utilization of non-conventional energy sources. These non-conventional energy sources differ considerably from the conventional power generation technologies in their performance and operating characteristics. The novel energy technologies are energy limited in addition to being capacity limited. The fundamentally different operating characteristics of these new technologies, such as the sun, wind, and cogeneration will affect the power system reliability in a different manner than conventional technology systems. As power generation plants using these non-conventional technologies are integrated into existing power systems, it becomes particularly important to evaluate the reliability of these plants and assess the effects that they will have on the overall system reliability. Not all units with energy limitations can be considered in the same manner, as different operating procedures are used for different kinds of limitation. In this thesis, practical analytical and simulation techniques for reliability evaluation of electric power systems with non-conventional energy sources are developed and applied to selected power
systems. The results obtained from the analytical methods are compared with those calculated by simulation methods to determine the effectiveness of the analytical approaches. A number of studies have been conducted to illustrate the concepts, methods and models. The models and methods are simple and relatively easy to use and can be applied to practical power systems.
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Degree
Doctor of Philosophy (Ph.D.)
Department
Electrical Engineering