Intelligent Power Oscillation Damping Control with Dynamic Knowledge Inference

摘要

The paper presents an intelligent power oscillation damping control with dynamic knowledge inference concept The power oscillation damping in an interconnected large power network requires controllers suitable deployed and regulated with changing system conditions. The combined intelligent control strategy has been proposed for real and reactive power regulation. The Gravitational Search Algorithm (GSA) optimization technique has been used to get the optimal parameters of respective controllers and this has been used in developing knowledge domain with dynamic inference. A Sample six area system has been considered to demonstrate the controlled states with operational shift.