Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines

Recently, the distributed power generation (DG) plays an important role in the planning of power systems because the demand load increases rapidly and the traditional solutions of utility may be expensive. So that the existing network should be utilized and developed in an optimal manner. The thesis presents the optimal location, size and number of different types of distributed generation (DG) units that should be added to distribution systems. The single objective is to minimize the total power losses by optimal location and size of two types of DG units considering the voltage limits and the lines{u201F} transfer capacities. Also, the effect of increasing number of DG units is presented according to the power factor of the substation and the voltage profile of the system. Moreover, solutions to improve the performance of the system in case of using DG units which supply active power only are suggested. Also, the best results in the case of single optimization are used in the multi-objective problem. The part of multi- objective aims to minimize the total active, reactive and voltage regulation index. This optimization problem can be classified as a mixed-integer nonlinear problem which is difficult to solve by classical optimization techniques. The Genetic Algorithm (GA) is used as an optimization technique and backward / forward sweep (BFS) method is applied as a load flow technique. The IEEE 33-bus and 69-bus radial distribution systems are used to test the effectiveness of the proposed models

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