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Natural disasters often result in large-scale power outages. Real-time tracking of the extent, distribution, and timelines of electrical service loss and recovery can play an important role in minimizing disaster impacts. Using NASA's Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB), the extent and duration of disrupted electric utility infrastructure in the Florida Panhandle following Hurricane Michael were estimated. The percent loss of electrical service was downscaled to a neighborhood level using the 2013-2017 American Community Survey (ACS) data at the block group level. Two ordinary least square models were estimated to examine the association between socioeconomic characteristics and the extent and duration of the power outages as well as recovery rates. The study found that block groups with higher percent minorities, multi-family housing units, rural areas, and a higher percentage of households receiving public assistance were experiencing slower power restoration rates than urban and more affluent neighborhoods. The findings have implications for disaster preparedness and recovery planning. / Includes bibliography. / Thesis (MURP)--Florida Atlantic University, 2021. / FAU Electronic Theses and Dissertations Collection

This dissertation studies two important models in the field of the distributed generation technologies to provide resiliency to the electric power distribution system. In the first part of the dissertation, we study the impact of assessing a Combined Cooling Heating Power system (CCHP) on the optimization and management of an on-site energy system under stochastic settings. These mathematical models propose a scalable stochastic decision model for large-scale microgrid operation formulated as a two-stage stochastic linear programming model. The model is solved enhanced algorithm strategies for Benders decomposition are introduced to find an optimal solution for larger instances efficiently. Some observations are made with different capacities of the power grid, dynamic pricing mechanisms with various levels of uncertainty, and sizes of power generation units. In the second part of the dissertation, we study a mathematical model that designs a Microgrid (MG) that integrates conventional fuel based generating (FBG) units, renewable sources of energy, distributed energy storage (DES) units, and electricity demand response. Curtailment of renewable resources generation during the MG operation affects the long-term revenues expected and increases the greenhouses emission. Considering the variability of renewable resources, researchers should pay more attention to scalable stochastic models for MG for multiple nodes. This study bridges the research gap by developing a scalable chance-constrained two-stage stochastic program to ensure that a significant portion of the renewable resource power output at each operating hour will be utilized. Finally, some managerial insights are drawn into the operation performance of the Combined Cooling Heating Power and a Microgrid.

This research has developed an assessment model and framework to measure cascading economic impacts in terms of gross domestic product (GDP) loss due to severe weather-induced power outages. The major objectives of this research were to (1) identify physical correlations between different industries within an economic system, (2) define deterministic relationships through the values of interconnectedness and interdependency between 71 industries, (3) complete probabilistic estimation of economic impacts using historical economic data spanning from 1997 to 2016, and (4) develop an assessment model that can be used in the future to measure economic loss in terms of gross domestic product (GDP) across 71 industries.

The importance of electrical energy for a contemporary society is increasing. However, most of people don´t realise possible consequences of power outage for agriculture. This thesis aims at presenting an analysis of power outage effects on agricultural breeding in MEC Soběslav area. Considering the aim of the thesis, there is a problem whether the selected breeding farms are ready enough for power outages. The theoretical part of the thesis characterises crisis management, integrated rescue system (IRS), critical infrastructure and electrical grid. The following part of the chapter deals with livestock, poultry and pig breeding, mainly from the point of view of their technological as well as technical equipment. The research part is based on pen and paper interviews with representatives and owners of breeding farms. The research was focused on a degree of dependency on electrical energy in MEC Soběslav area. Two breeding farms in Germany were selected for a comparison with the situation abroad. The results revealed that most of the breeding farms are strongly dependent on electrical energy. Thanks to the last modernisation, automatic feeding or water supplying became a common standard. Unfortunately, most of the modern breeding farms are not able to guarantee these procedures in case of power outage. Great amount of breeding farms don´t have any emergency sources of energy and those that own some, have only limited supplies of fuel. There are no contracts guaranteeing the fuel for the breeding farms. The most problematic situation concerns poultry breeding, where the breeding procedures are wholly controlled by information systems and even the minute failures cause massive losses. Therefore the research problem was confirmed because the breeding farms are not equipped for powers outages. This diploma thesis is supposed to be used for educational purposes or as the means of orientation in the problem for individual breeders. The purpose is the education of presented subjects.

The goal of the thesis is to describe the approaches used for the regulation of the continuous supply of electric power in the selected countries of European Union and to determine the power outages costs in the specific distribution network, resulting from non-observance of the customer standards used in Great Britain, Sweden and Finland. The costs have been calculated for the entire network, as well as for the individual outputs. The thesis carries out the sensitivity analysis of the power outages costs, resulting from the breaching the supply restoration standards and the multiple interruptions standard used in the Great Britain. The costs of the individual limits are shown in the tables and the graphs. The comparison of the individual outputs according to the height of the penalty costs have been carried out on the selected set of limits. The comparison of the order of the individual outputs is then carried out for the customer standards used in Great Britain, Sweden and Finland.