Improved-GWO designed FO based type-II fuzzy controller for frequency awareness of an AC microgrid under plug in electric vehicle

The performance analysis of type-2 fuzzy fractional-order tilt integral derivative controller with enhanced Harris hawks optimization

“…In huge uncertainties, the fuzzy controller may not be effective to increase transient response. The double MF-built T2 fuzzy PID structure offers improved response related to fuzzy PID (Sahu et al, 2018(Sahu et al, , 2020a. The present work suggests a type-2 fuzzy fractional-order tilt integral derivative structure to regulate frequency.…”

“…A fractional order-multistage structure for frequency control of an ACMG with improved sine cosine algorithm was presented in Sahu et al (2020b). An improved-grey wolf optimization-based fractional order type 2 fuzzy logic controller for frequency control of an ACMG with electric vehicle was presented in Sahu et al (2020a). As per the no free lunch suggestion, no technique is fit for all types of optimization tasks.…”

AC,DC,and hybrid control strategies for smart microgrid application: A review

“… Require distribution and market network for low/medium voltage operation. Require a unified main controller to operate the local controller. Require a local controller for collecting each essential data. The networking hierarchy also operates in a similar manner, where the unified main controller tracks the regulator set conditions from the distribution and market network and is directed to the local controller for optimal performances. Online particle swarm optimization technique based FLC approach is proposed to regulate the grid frequency in AC‐MG 36 Similarly, advanced grey wolf optimization‐based type‐2 FLC is suggested to circumvent the frequency disturbances in AC‐MG during electric vehicle applications 37 Different advanced control and optimization techniques are reviewed and suggested to improve the transient stability and frequency of AC‐MG system 38 …”

Improved-Fitness Dependent Optimizer Based FOI-PD Controller for Automatic Generation Control of Multi-Source Interconnected Power System in Deregulated Environment

“…Hasanien in [26] has used the PID controller tuned with Whale Optimization Algorithm (WOA) considering a new model of renewable energy sources and conventional power system with the inclusion of GRC and GDB nonlinearities. Similarly, some other meta-heuristic techniques have also been used to study the AGC of interconnected power system such as Sine Cosine Algorithm (SCA) [27], Imperialist Competitive Algorithm (ICA) [28], Modified Group Search Optimization (MGSO) [29], Fitness Dependent Optimizer (FDO) [30], Improved Ant Colony Optimization (IACO) [31], Salp Swarm Algorithm (SWA) [32], PSO hybridized with Gravitational Search Algorithm (hPSO-GSA) [33], Improved Gray Wolf Optimization (IGWO) [34], and Volleyball Premier League (VPL) [35]. Therefore, it is worth to further study the application of meta-heuristic techniques to solve problems related to AGC.…”