Valente de Araujo, Victor; Pino de Araujo, Renato
COELBA
The energy consume is growing in all the word, and the utilities must invest to meet this need for load. The power supply to the entire city is done by the Primary Network Distribution and big cities also have a great number of substations, transforms, feeders, lines
distribution, and load. To supply the growing demand utilities usually use a ten year plan that predicts the load demand for ten years in each city area. Investments necessary to meet the ten
year plan are in the order of millions dollars, so missteps represents high costs to the utilities. The resource allocation to the plan is a
combinatorial problem and one different investment can change completely the system scenery what shows that hardly a person and
even a program will find the best solution. A program that simulates the investments needed in the primary distribution network within a
planning horizon was developed for the best resources allocation. Clonally selection is an Immunologic theory used to solve complex
problems like the described above that was used to find an optimized solution to the ten year plan. This paper will describe the modeling and results of the evolutionary optimization applied to the primary network distribution expansion.
