Load Frequency Control Using Hybrid Intelligent Optimization Technique for Multi-Source Power Systems

The automatic load frequency control for multi-area power systems has been a challenging task system engineers. complexity of this further increases with the incorporation multiple sources generation. For multi-source system, paper presents new heuristic-based hybrid optimization technique to achieve objective control. In particular, proposed regulates deviation and tie-line in system. uses main features three different techniques, namely, Firefly Algorithm (FA), Particle Swarm Optimization (PSO), Gravitational Search (GSA). algorithm was used tune parameters Proportional Integral Derivative (PID) controller integral time absolute error as function. Moreover, also tuned ensure that were within acceptable limits. A two-area designed using MATLAB-Simulink tool, consisting types sources, viz., thermal plant, hydro gas-turbine plant. overall efficacy tested two case studies. first study, both areas subjected increment 0.01 p.u. second case, increments 0.03 p.u 0.02 p.u, respectively. Furthermore, settling peak overshoot considered measure effect on response. times area-1, area-2, flow 8.5 s, 5.5 3.0 comparison, these values 8.7 6.1 PSO; 7.2 6.5 FA; 9.0 8.0 11.0 s GSA. Similarly, study II, were: 5.6 5.1 algorithm; 6.2 6.3 5.3 7.0 10.0 7.5 12.0 Thus, performed better than other techniques.