Algoritmo genético para seleção de contingências na análise estática de segurança em redes elétricas

Abstract

The importance of a reliable supply of electricity to the industrial society is unquestionable. In a control center of an electrical utility, an important computational task is the Security Analysis. In this task, contingency is the out of operation of one or more devices, and contingencies selection is the determination of the most severe contingencies for the system. Despite the current technological advances, an analysis of all possible contingencies, for a real grid, is impracticable. In this work, a method to efficiently perform the selection of multiple contingencies is presented. The problem is modeled as a combinatorial optimization problem, and solved by two genetic algorithms. A robust method, which considers aspects of power flow and voltage, is presented and tested over an IEEE test system and a large real network, considering double outages of branches. The results presented, obtained with scans of reduced portions of search space, shows accuracy close to 100%, when compared with an exact method.