Jain, Akshay Kumar2018-03-072018-03-072018-03-06vt_gsexam:14434http://hdl.handle.net/10919/82481Distribution feeders form the last leg of the bulk power system and have the responsibility of providing reliable power to the customers. These feeders experience voltage drops due to a combination of feeder length, load distribution, and other factors. Traditionally, voltage drop was a major concern. Now, due to an ever-increasing PV penetration, overvoltage has also become a major concern. This limits the amount of solar PV that may be integrated. Few solutions exist to improve the voltage profile, where the most common is the use of voltage control devices like shunt capacitors and voltage regulators. Due to a large number of design parameters to be considered, the determination of the numbers and locations of these devices is a challenging problem. Significant research has been done to address this problem, utilizing a wide array of optimization techniques. However, many utilities still determine these locations and numbers manually. This is because most algorithms have not been adequately validated. The validation of a voltage profile design (VPD) algorithm has been presented here. The validation of this algorithm was carried out on a set of statistically relevant feeders. These feeders were chosen based on the results obtained from a feeder taxonomy study using clustering analysis. The algorithm was found to be effective in enhancing the amount of solar PV a feeder may host, while still maintaining all the voltages within the ANSI standard limits. Furthermore, the methodology adopted here may also be used for the validation of other algorithms.ETDIn CopyrightVoltage Profile DesignPV Hosting CapacityClustering AnalysisRepresentative Distribution FeedersThesis