Optimized Integral Sliding Mode Load Frequency Control of an Isolated Power System

This paper proposes optimized integral sliding mode approach as a load frequency control (LFC) for an isolated power system. The system integrates multiple sources including conventional generators, renewable energy sources (RESs), and energy reserves to supply power demand. This system experiences random and nonrandom disturbances as a result of uncertainty, transients, and noise that may be internal or external to the system. A novel integral sliding mode load frequency control (ISMLFC) using integral (PI) sliding surface is implemented for frequency regulation of the proposed system. The control variables of ISMLFC are optimally selected using particle swarm optimization (PSO) method. A Simulink model of the system in MATLAB is developed. A comprehensive simulation study is conducted considering different operating conditions with the variation in the levels of load and generations, time delay, disturbances, parameters, control structure, etc. The simulation results validate the robust performance of the optimized ISMLFC with the saturation function in the control law to provide better frequency response. Further, the comparative analysis with other alternative control approach, proposed controller outperforms for frequency regulation.