Date of Award
Electrical and Computer Engineering
Engineering, Electronics and Electrical.
CC BY-NC-ND 4.0
In this thesis two genetic algorithm methods are developed which my be applied to perform real-tune, on-line control of the shunt capacitors and voltage regulators that are placed on a distribution system for the purpose of reducing distribution losses, while all bus voltages within +/-5% of their nominal rated values. The first genetic algorithm method employs a penalty based fitness function, while the second genetic algorithm method employs a fuzzy logic based fitness function. Both methods are tested on a 30 bus distribution system under varying load conditions and the results obtained are compared with the global optimal solution which is obtained by performing an exhaustive search of the solution space using the penalty based fitness function as its objective function. The results of the penalty based method are quite close to those of the global optimal solutions for the load levels studied. The results of the fuzzy based method while not as good as those of the penalty based method are quite promising, and deserves further study. Both genetic algorithm methods were capable of arriving at a solution in less than 3 minutes and 30 seconds, and hence, would be suitable for real-time, on-line applications.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1998 .M68. Source: Masters Abstracts International, Volume: 39-02, page: 0566. Advisers: R. Hackam; A. Y. Chikhani. Thesis (M.A.Sc.)--University of Windsor (Canada), 1998.
Morelli, Jordan Edwin., "Distribution loss reduction: A genetic algorithm approach." (1998). Electronic Theses and Dissertations. 1765.