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Evaluating The Effectiveness Of Peak Power Tracking Technologies For Solar Arrays On Small Spacecraft, Daniel Martin Erb
Evaluating The Effectiveness Of Peak Power Tracking Technologies For Solar Arrays On Small Spacecraft, Daniel Martin Erb
University of Kentucky Master's Theses
The unique environment of CubeSat and small satellite missions allows certain accepted paradigms of the larger satellite world to be investigated in order to trade performance for simplicity, mass, and volume. Peak Power Tracking technologies for solar arrays are generally implemented in order to meet the End-of-Life power requirements for satellite missions given radiation degradation over time. The short lifetime of the generic satellite mission removes the need to compensate for this degradation. While Peak Power Tracking implementations can give increased power by taking advantage and compensating for the temperature cycles that solar cells experience, this comes at the expense …
Artificial Neural Network Based Fault Location For Transmission Lines, Suhaas Bhargava Ayyagari
Artificial Neural Network Based Fault Location For Transmission Lines, Suhaas Bhargava Ayyagari
University of Kentucky Master's Theses
This thesis focuses on detecting, classifying and locating faults on electric power transmission lines. Fault detection, fault classification and fault location have been achieved by using artificial neural networks. Feedforward networks have been employed along with backpropagation algorithm for each of the three phases in the Fault location process. Analysis on neural networks with varying number of hidden layers and neurons per hidden layer has been provided to validate the choice of the neural networks in each step. Simulation results have been provided to demonstrate that artificial neural network based methods are efficient in locating faults on transmission lines and …