Synchronous Machine Parameters Evaluation with a Hybrid Particle Swarm Optimization Algorithm
B. T. Araujo, José V. Bernardes, Edson C. Bortoni, Germano Lambert‐Torres · Electric Power Components and Systems · 2017
This article presents a novel methodology for the determination of synchronous machine parameters from the sudden short-circuit (SCC) test. Records of armature and field currents transient behavior are used to evaluate the d-axis equivalent circuit, including the rotor characteristic reactance, and the traditional synchronous machine parameters. The method is based on the evolutionary computer algorithm, the hybrid particle swarm optimization (HPSO). The developed program has been successfully applied into two large salient pole synchronous machines test data.