Wavelet NeuroFuzzy Based STATCOM Control

The main objective of this research is to use a Flexible AC Transmission System (FACTS) controller to increase the stability of AC grid. Power system stability is a major concern for reliable and secure operation of the system. FACTS controllers are mainly used for voltage regulation and power flow control; however, they can be very effective for power stability when equipped with efficiently designed auxiliary control. In this work, an artificial intelligence approach based on NeuroFuzzy Hermite wavelet based direct adaptive control has been used as an auxiliary controller for shunt-type FACTS controller. The performance of the proposed controller has been checked using Single Machine Infinite Bus and IEEE 9 BUS multimachine systems installed with a Static Synchronous Compensator (STATCOM), a shunt-type FACTS controller. Finally, the comparative evaluation of the proposed controller has been made in terms of local and inter-area modes of oscillations using nonlinear time domain simulations for different faults and operating conditions.