Automatic Generation Control of Multi-Source Interconnected Power System Using FOI-TD Controller

Automatic Generation Control (AGC) delivers a high quality electrical energy to consumers using efficient and intelligent control systems ensuring nominal operating frequency organized tie-line power deviation. Subsequently, for the AGC analysis of two-area interconnected hydro-gas-thermal-wind generating unit, novel Fractional Order Integral-Tilt Derivative (FOI-TD) controller is proposed that fine-tuned by powerful meta-heuristic optimization technique referred as Improved-Fitness Dependent Optimizer (I-FDO) algorithm. For more realistic analysis, various constraints, such Boiler Dynamics (BD), Time Delay (TD), Rate Constraint (GRC), Governor Dead Zone (GDZ) having non-linear features are incorporated in specified system model. Moreover, comparative I-FDO algorithm performed with state-of-the-art approaches, FDO, teaching learning based optimization, particle swarm algorithms. Further, tuned compared Tilt Integral (FOTID), PID, (I-TD) controllers. The performance demonstrates FOI-TD provides better show strong robustness changing parameters load condition range  ± 50%, other