Adaptive discrete wavelet transform based technique for load frequency control

Abstract

This paper presents an adaptive discrete wavelet transform (DWT) based genetic algorithm (GA) technique for automatic generation control (AGC) systems. The controller ensures a zero steady state error for frequency deviation, mitigates inter area oscillations between interconnected power system and damps out noise from the Area Control Error (ACE) signal. The non-orthogonal DWT with GA optimization technique is employed to determine the optimal gains of the proposed DWT based controller. The performance of the proposed controller was evaluated by applying it to a known two-area interconnected system. The Load frequency model was also subjected to noise/disturbance to validate the robustness of the proposed DWT-GA based controller. Integral square error (ISE) and signal integrity (SI) indices were the performance indices used. Test results show an enhanced performance with less settling time, overshoot and zero frequency deviation after a load disturbance.