Avaliação da estabilidade de tensão utilizando índice rápido e a metaheurística colônia de formigas.

Abstract

This paper presents an optimization technique for maximum loading of an electric power system jointly using Fast Voltage Stability Index (FVSI) and metaheuristic Ant Colony Optimization (ACO). A routine for using the load flow Newton-Raphson method was programmed in MATLAB®. Was also programmed in MATLAB® index. After the solution of the load flow base case, there was an increase of reactive power at all buses system load. Then if the calculated index value FVSI all line , so that they were evaluated for their loads and the voltage stability . If any line of the system has value FVSI close to unity (stability condition of the system), the system buses stop receiving reactive power increments. The ant colony metaheuristic was used in order to obtain the values of maximum reactive power loads in load buses SEP tested manner that optimizes such loading. Routine scheduled for distributed Ant Colony Optimization ants on the buses of the system and through a probability function they chose the amount of reactive power that must be incremented on each bus through mutual cooperation and restrictive conditions of the system (limits FVSI) assessing thus the voltage stability of the system with respect to its maximum load. A major contribution of this method is the construction of an alternative to evaluate the stability of SEP voltage that can be used by system operators to form on-line.