REACTIVE POWER SUPPLIERS OPERATION USING A GENETIC ALGORITHM

Abstract

Due to the limited transmission capability of transmission lines and the difficulty in finding new locations for generation, one method to overcome the additional load accommodation problem is the adequate utilization of the Reactive Power Supplier (RPS) which is installed in the system. However, calculating the amount of RPS is difficult, as it becomes a nonlinear combinatorial integer problem. This paper proposed the Pyramid genetic algorithm which improves the convergence characteristic of the genetic algorithm, and also proposed the successive iteration method between the pyramid genetic algorithm and Newton-Raphson load flow method to solve the reactive power supplier operation problem. Furthermore, we analytically determined the range of the mutation and crossover probability of the genetic algorithm which was chosen only by experience. The proposed method was applied to the IEEE 30 bus 6 generator system to prove its validity and effectiveness.