Maldonado-Segarra, Nelson N.

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    A procedure to study the resiliency of the power system during extreme events
    (2019-08-08) Maldonado-Segarra, Nelson N.; Andrade-Rengifo, Fabio; College of Engineering; Castro Siritiche, Marcel J.; Irizarry Rivera, Agustín A.; Department of Electrical and Computer Engineering; Ríos Lopez, Isabel
    In this thesis, a procedure for the study of resiliency of the power system during an extreme event or natural phenomenon (i.e. a hurricane) was designed. The main goal was to include a quantitative form/way from which the resiliency could be calculated, and to let the process well documented, to function as a guide, for the benefit of the readers, and other interested people, for future investigations about resiliency. After an intense research, it was determined, that to achieve this goal, metrics analogous to those of availability were to be followed. Because the term resiliency is an explicit function of time, the use of probability functions and/or methods were implemented. In general, the motivation to center this thesis in the resiliency study was because of the two reasons. The first one being, natural phenomenon are happening more frequently around the world, and small countries, as is the case of the tropical island of Puerto Rico, suffer higher consequences in comparison to other places, either by the lack of maintenance and updates in the technology present in the existing power grid and other infrastructures, or because of their location (i.e. coasts or close to the ocean). The second one being, the increasing interest of realizing studies centered around resiliency. This thesis consists in the development and implementation of three models: “Markov Chain grid availability model”, “Renewable energy source with embedded energy storage model” and “Diesel generator model”, from which the resiliency study is generated. The probability method known as the Markov Process, because of its property (i.e. principle of memoryless) was used in the implementation. The advantage of this property come in handy when few or none, empirical data of interest is available, as was the case during the realization of this thesis. The first model is related to the power grid, and it’s made in term of its availability, during the occurrence of a hurricane. This assumption was made, because in normal operational conditions, the power grid should be able to supply all load demands. The second model work with solar renewable energy source with embedded energy storage. For the implementation of this model, a solar data profile, provided by professor Agustin Irizzary, was used. Finally, the third model works with the implementation of a diesel generator with a tank storage. The purpose of including both distributed energy resources and a diesel generator is to make it more flexible, and to showcase the importance of including them when studying the resiliency of the power system. At completion, the resiliency of each model is calculated in a quantitative form. After being completed and because of the way the methodology is explained, this thesis could be modified and implemented for the development of new research on resiliency.