LUS-TLBO Optimized Load Frequency Control for EV-Thermal-Hydro System Using Cascaded 3DOFPID-FOPID-FOPD-TID Controller

Abstract

This study unveils the application of cascaded-three degree of freedom proportional integral derivative -fractional order proportional integral derivative-fractional order proportional derivative-tilted integral derivative (CC-3DOFPID-FOPID-FOPD-TID) controller optimized by local unimodal sampling –teaching learning based optimization (Lus-TLBO) algorithm for frequency stability. Conventional controller under reformed operating situations, are not giving reasonable performances as compared to cascaded controller in terms of robustness towards system non-linearities. Hence, a novel optimal 3DOFPID-FOPID-FOPD-TID controller is exploited for 4-area hydro thermal power systems considering system non lineraities. Further batteries of electric vehicles (EVs) are conformed here in the control areas to speedily incarcerated frequency oscillations following load demands to improve the stability of the system. Frequent simulations are directed to substantiate the robustness and superiority of EVs and the recommended control strategy over prevailing approaches. A hybrid Lus-TLBO algorithm is introduced here to optimize the controller parameters. The supremacy of dynamic performances of Lus-TLBO optimized controller is accomplished with teaching learning based optimization (TLBO) based for EV with system and without system through extensive simulations. Moreover the preeminence of cascade 3DOFPID-FOPID-FOPD-TID controller is executed in comparison with 3DOFPID-FOPID-TID, 3DOFPID-FOPID and 3DOFPID-TID controllers. Finally the robustness of this cascade is performed under random load fluctuation.