An Adaptive Synchronous Machine Stabilizer

Abstract

An adaptive synchronous machine stabilizer utilizing the least-squares identification with varying forgetting factor and a self-searching control strategy is proposed in this paper. The use of varying forgetting factor in the identification algorithm improves parameter tracking under both transient and dynamic conditions, and the use of a self-searching pole shifting control technique increases the flexibility when applied to varying operating conditions encountered in power systems. These features make this stabilizer very robust. Studies given in the paper show that the proposed self-tuning stabilizer provides excellent damping under varying operating conditions and with different types of disturbances.