Resilient frequency stability of a PV/wind penetrated complex power system with CSA tuned robust Type-2 fuzzy cascade PIF Controller.

• To implement a robust type-2 fuzzy cascade (T2F-CPIF) controller for mitigating frequency and tie-line power error issues under different abnormal conditions of the renewable energy based hybrid power system. • To defend effectiveness of the applied T2F-CPIF controller, an extensive relative study of this T2F-CPIF controller is synthesized over standard type-1 and type-2 fuzzy PID controllers. The work has tested the robust credential of the proposed T2F-CPIF controller through numerous sensitive studies. • This assignment on stability study empowers a crow-search algorithm (CSA) to furnish best optimum parameters of the above approached controllers. An extensive study on validation of this proposed CSA technique has been synthesized in comparison with few standard techniques like imperialist competitive algorithm (ICA), Sine–cosine algorithm (SCA), particle swarm optimization (PSO) and genetic algorithm (GA). • Finally, two FACTS devices such as IPFC and SMES are implemented with principal T2F-CPIF control approach to advance stability criteria of the proposed hybrid electrical grid. This research study aims to aware faster stabilization in inter-area power flow and frequency of a complex power grid under different disturbances with employing novel techniques and approaches. The objective of the power system is to generate electricity as per the load demand which commonly named as automatic generation control (AGC). In AGC controller concern, the study empowers a robust type-2 fuzzy cascaded PI fractional order (T2F-CPIF) approach to monitor system dynamics. Further, the novelty of the proposed T2F-CPIF has been compared over standard type-2, type-1 fuzzy PID and PID controllers to depict superiority of the controller. Again to produce optimum parameters of the proposed T2F-CPIF controller, the work has suggested a novel crow-search algorithm (CSA) under different situations. It has been noticed that T2F-CPIF approach is observed as an advanced tool to magnify settling time of ΔF 1 (area1 frequency discrepancy) by180.32%, 372.02% & 470% as compared to standard Type-2 fuzzy, Type-1 fuzzy and PID controllers respectively. An extensive exploration on all outcomes justifies advanced controllability of the CSA tuned T2F-CPIF controller for stability excursion of the proposed power grid network. Finally, the AGC attribution is supervised with the implementation of super conducting magnetic energy storage (SMES) and interline power flow control (IPFC) devices. [ABSTRACT FROM AUTHOR]