EO Optimized Novel Type-2 Fuzzy ID-P Controller for LFC of Deregulated Multi-area Power System with Robust Stability Analysis
Abhishek Anand, Nisha Kumari, Pulakraj Aryan, G. Lloyds Raja
Abstract
Due to the availability of an extra dimension in the membership functions, type-2 fuzzy logic controllers are more efficient in handling uncertainties and nonlinearities associated with load frequency control (LFC) of multi-area power systems. This work explores the novel type-2 fuzzy integral-derivative plus proportional (T2FIDPP) controller for LFC of a two-area hybrid power system with multiple generation units under deregulation. Generating units considered for this work are thermal with reheat turbine, gas unit and distributed generation (DG) which include solar photovoltaic (PV) & wind turbine system. Physical nonlinearities such as governor dead band (GDB), boiler dynamics (BD) and generation rate constraint (GRC) are considered in simulation for thermal units. The investigated system is subjected to step load disturbance to investigate the effectiveness of the proposed controller. Finally, the equilibrium optimizer (EO) is applied to obtain the optimal settings of the suggested controller. The comparison of prevalent optimization techniques and controllers is also illustrated. Along with this, a robust stability analysis of the controlled system is presented. Simulation studies establish the efficacy of the suggested control scheme.