Adaptive fuzzy approach for load frequency control using hybrid moth flame pattern search optimization with real time validation

The intensifying progression in the transformation of the power grid towards a new generation power system introduces frequency regulation challenges in operations which can be overcome with substantial benefits from the latest robust control approaches along with suitable smart optimizing tools. Additionally, with the adoption of smart and intelligent control schemes, the latest communication technologies with the extensive placement of smart devices, there will be significant growth in real-time system measurements. Under this trend, an adaptive fuzzy PID (A-FLC-PID) system will play a vital role in reducing transient time. In this article, a novel adaptive fuzzy control architecture intended for load frequency control with a supplementary hybrid moth flame optimization pattern search (h-MFO-PS) algorithm is presented. The proposed approach is designed to optimize the controller gains for the eventual fitness of the objective function. The hybrid algorithm smartly updates the scaling factors of the adaptive fuzzy controller by considering various proportional and integral thresholds. Simulations are performed on two areas hydrothermal system with the gas unit. To validate the research outcomes and measure the effectiveness of the proposed architecture, the outcomes are compared with recent research approaches and practicability is tested using an OPAL-RT setup. The sturdiness of the concerned approach is studied with a wide range of parameterization and loading conditions. It is observed that the h-MFO-PS scaled A-FLC-PID controller establishes superior improvement in frequency regulation.