• Ramesh Chandra Prusty

The research paper proposes a novel derivative filter based multistage controller and is well known as proportional derivative filter with unit gain complimented PI controller (PDF plus (1+PI) controller) to establish Automatic Generation Control (AGC) in an inter connected complex non-linear thermal and wind generating station based three area power network. Different non-linearity constraints like GDB and GRC are included to make non-linearity to the proposed network. In this proposed work to develop most accurate and close optimum of controller gain values, the proposed controller gain parameters are tunes by nature oriented optimization technique called Ant Lion Optimization (ALO) algorithm. While optimizing different gain parameters to develop least value oriented settling time and over shoot Integral of Time Multiplied Absolute Error (ITAE) has been used as fitness function for this analysis. To depict superior nature of our proposed controller a comparative analysis has been done among few other implemented controllers like conventional I, PI and PID controllers. Again a comparative observation is developed among different techniques like MFO, PSO and GA to impose Excellency of our proposed MFO algorithm. Finally the supremacy of ALO optimized proposed multistage controller is verified through random based step load pattern and are examined through different dynamic responses.

Automatic generation control (AGC), Ant Lion Optimization (ALO), Integral of Time Multiplied Absolute Error (ITAE),. Generation Rate Constraint (GRC), GDB (Governor Dead Band)

"ALO Optimized multistage PDF plus (1+PI) controller for AGC of multi-area multi source non-linear power system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.673-682, June-2018, Available :http://www.jetir.org/papers/JETIR1806599.pdf

"ALO Optimized multistage PDF plus (1+PI) controller for AGC of multi-area multi source non-linear power system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp673-682, June-2018, Available at : http://www.jetir.org/papers/JETIR1806599.pdf