Grasshopper optimisation algorithm of multistage PD_F+ (1 + PI) controller for AGC with GDB and GRC nonlinearity of dispersed type power system

Grasshopper optimization algorithm optimized multistage controller for automatic generation control of a power system with FACTS devices

“…Sensitivity investigation observed the robustness of the most favorable controller gains [21][22][23]. Similar investigation has been carried out for the optimum controller in the presence of FACTS devices in AGC, and the most convenient objective function for optimum controller and FACTS devices is investigated.…”

“…The fuzzy-PID controller was preferred to establish cohesion in power system dynamic behavior in [16][17][18], while cascaded PD-PID and PI-PD controllers were used in [19,20] because of their adequate results, simplicity, reliability and performance. A 2DOF controller was implemented in [19] to minimize the steady-state error and to establish stability in the system, while [21,22] satisfied a system necessity by introducing a metamorphic modern PDF+(1 + PI) controller which helped in developing the responses of transient and steady-state error to diminish with different dynamic responses with various parts.…”

“…Many methods have been used to try to address these problems, e.g., firefly algorithm (FA) [12], Symbiotic Organisms Search SOS [16], BAT [19], Grey Wolf Optimization GWO [20], and Cuckoo Search (CS) [23]. The efficacy of the sine cosine algorithm in the AGC system with FACTS devices was explored in [24], while better dynamic performance using GWO was obtained in [21] and in [22], the primacy of GOA with a 2stage controller was explored.…”

Performance analysis of modified sine cosine optimized multistage FOPD‐PI controller for load frequency control of an islanded microgrid system

“…A discussion has been made on the Bat algorithm‐based high frequency distributed sources in Ram et al 17 The improvement in frequency regulation has been established by the Sine cosine optimization algorithm in Hafez et al 18 and the quick artificial bee colony (qABC) algorithm in Karaboga and Gorkemli 19 . The nonlinear issues established in conventional grid and issues due to integration of wind system has been overcame in Nayak et al 20 using GOA‐based cascade controller. The improvement in frequency oscillation has been established by hydrogen aqua equalizer in Nayak et al 21 Hybrid Dragonfly and Pattern Search Algorithm based 2dof‐PID approach provided in Mishra et al 22 Modified Social Group Optimization for managing issues of hydrothermal scheduling presented in Naik et al 23 Modified African buffalo optimization used for obtaining an improvement in system performance with the integration of storage devices discussed in Singh et al 24 Enhanced coyote optimizer‐based cascaded load frequency controllers are discussed in Abou El‐Ela et al 25 and multistage PID approach for frequency dynamics control approach presented in Annamraju and Nandiraju 26 for frequency stability.…”

A Matignon’s Theorem Based Stability Analysis of Hybrid Power System for Automatic Load Frequency Control Using Atom Search Optimized FOPID Controller

“…Additionally, implementation of such controller in real-time for ALFC application is a cumbersome process and requires field expertise [8], [10], [11]. Therefore, the gain parameters of classical controllers are obtained using population-based evolutionary computational intelligence approaches such as GA [10], PSO [12], QOHSA [13], GOA [14], HHO [15], HBFO [16], HIF-PS [17], BA [18],QSHO [19]and other numerous approaches for controlling the ACE of interconnected multiarea multi-source power system. The obtained gain values of the controller from the above-mentioned methods have improved the efficiency and robustness of the system.…”