• Ramesh Chandra Prusty

The proposed work aims to develop Automatic generation control (AGC) of a two area six unit based inter connected power network by implementing a robust Nominal Characteristic Trajectory Following (NCTF) controller. The AGC focuses on stability of a system in order to keep both frequency and inter line power flow within their predetermined values. The deviation of both frequency and interline power occurs when there is a sudden change of load or due to certain disturbances. The proposed controller diminishes the Area Control Error (ACE) which includes both local control signals (∆f and ∆Ptie) and tries to maintain both deviated values to zero. This article proposed a novel Salp swarm Optimizer (SSO) algorithm for tuning the gain parameters of above proposed controller. To develop least overshoot and minimal settling time oriented responses Integral of Time Multiplied Absolute Error (ITAE) have been utilized as objective function in proposed optimization scenario. To justify superiority of proposed NCTF controller it’s performances are compared with additional PID and PI controller through different responses. For technique comparison and to impose supremacy of proposed SSO algorithm it is examined along with PSO and GA optimization technique which results supremacy of proposed SSO technique. Robust performance of proposed controller is checked with the variation of turbine time constant and variation applied load.

Automatic generation control (AGC), Salp Swarm Optimizer (SSO), Integral of Time Multiplied Absolute Error (ITAE). Generation Rate Constraint (GRC), GDB (Governor Dead Band), NCTF

"Salp Swarm Optimizer based NCTF 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.335-343, June-2018, Available :http://www.jetir.org/papers/JETIR1806651.pdf

"Salp Swarm Optimizer based NCTF 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. pp335-343, June-2018, Available at : http://www.jetir.org/papers/JETIR1806651.pdf