Optimally designed fuzzy-based controller using Craziness-based CSA technique for AGC performance enhancement of power system

The basic concernment of this work is to enhance the frequency regulation of power system integrated with renewable energy (wind and solar energy along with pumped hydro-energy storage). The integration of renewable energy system with grid may lead to power quality issues. The design of secondary controller to improve frequency regulation is immensely obligatory. The design of effective controller is highly relied on controller structure. In this work, the optimally designed fuzzy PID (ODFPID) is established for frequency regulation of power system. The membership function (MF) and rule base structures of fuzzy logic controller (FLC) is designed by using computational technique which is relevant to the corresponding system rather than trial-and-error method. The proposed controller MF is asymmetrical, and this structure of fuzzy is immensely relevant for a particular system. To decide optimal structure of FLC and gain parameters of controller, a computational technique with ability to solve problem with high numbers of variables is tuned. For this purpose, the capability to solve such problems of crow search algorithm (CSA) is enhanced by introducing craziness factor entitled as craziness-based CSA (CCSA). The supremacy of proposed CCSA technique is concluded by a comparison analysis with CSA technique to regulate frequency and tie-line power of a power system with FPID controller. The performance of CCSA ODFPID controller is tested in different environment (with wind, solar and PHES). The dominance of proposed approach is observed by conceding undershoot, overshoot, settling time and functional values of frequency and tie-line power deviation. The overall improvement due to the usage of CCSA technique over CSA technique for different case studies is 77.5226%. The propose ODFPID controller is having overall improvement of 86.0292% in comparison with FPID controller. The proposed ODFPID controller is concluded as a better approach for frequency regulation of power system.