Automatic generation control analysis of power system with nonlinearities and electric vehicle aggregators with time-varying delay implementing a novel control strategy

Authors : Nimai Charan PATEL, Binod Kumar SAHU, Manoj Kumar DEBNATH

Pages : 3040-3054

View : 18 | Download : 4

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Automatic generation control insert ignore into journalissuearticles values(AGC); also known as load frequency control plays a vital role in interconnected power system for frequency regulation. Electric vehicles insert ignore into journalissuearticles values(EVs); with battery as the storage device can participate in frequency regulation service. In practice, a large number of EVs are aggregated as a single unit called EV aggregator for participation in frequency regulation service in AGC system. Participation of EV aggregators in AGC system for frequency regulation will be encouraged in near future because EVs have less environmental pollution than the conventional vehicles. However, participation of EV aggregators in AGC system may introduce time delay which degrades the dynamic performance of the power system and even may lead to system instability. Further, generation rate constraint insert ignore into journalissuearticles values(GRC); and governor dead band insert ignore into journalissuearticles values(GDB); of synchronous generator introduce nonlinearity in the system, which adversely affects its dynamic performance. Hence, selection of an appropriate control strategy is essential for performance enrichment of the power system. In this work, a PID-fuzzy-PID insert ignore into journalissuearticles values(PID-FPID); controller optimally designed by hybridizing particle swarm optimization insert ignore into journalissuearticles values(PSO); and modified sine cosine algorithm insert ignore into journalissuearticles values(MSCA); is proposed and a novel attempt is made to improve the frequency stability of a two-equal-area interconnected thermal power system with GDB and GRC incorporating an EV aggregators with time-varying delay in each area. Integral time absolute error has been chosen as the objective function to optimally design the controller parameters. Dynamic performance of the system is also investigated with proportional-integral-derivative insert ignore into journalissuearticles values(PID); controller optimally designed by PSO, sine cosine algorithm insert ignore into journalissuearticles values(SCA);, MSCA, and hybrid PSO-MSCA. The efficacy and supremacy of the proposed hybrid PSO-MSCA-based PIDFPID control strategy is established by contrasting the results with the others. Finally, the robustness of the proposed control strategy is validated by insert ignore into journalissuearticles values(i); including two EV aggregators with time-varying delay in each area, insert ignore into journalissuearticles values(ii); applying a large disturbance of 0.4 p.u. in area-1, and insert ignore into journalissuearticles values(iii); applying a random load in area-1.
Keywords : Automatic generation control, electric vehicle aggregators, time varying delay, particle swarm optimization, modified sine cosine algorithm