Cost effective design of conventional type distribution transformer using optimization techniques

Due to the huge number of distribution transformers yearly consumed and installed in the utility networks, it is always required and targeted to build transformers with the most economical cost. Achieving the guaranteed characteristics of transformers is an important factor that should be considered. It is well known that the transformer design task is time consuming. In this thesis a successful attempt for designing distribution transformers up to 34.5 kV and 1500 kVA using optimization techniques is presented. Two optimization techniques to obtain the optimal design of distribution transformers are proposed. Nonlinear programming (NL) algorithm is the first technique while the second one is Genetic Algorithms (GA). The transformer design mathematical formulation is explained in a systematic way for the conventional type of distribution transformers. Optimization methodologies and implementation results are presented. Results show the effectiveness of the proposed mathematical formulation of the transformer design problem and the reduction of total cost when compared to conventional designs.