Exploration of novel optimal fuzzy-based controller for enhancement of frequency regulation of deregulated hybrid power system with modified HVDC tie-line

Recent advancements in the power system put forth various challenges to frequency regulation studies. These challenges show an immense impact on the power system's inertia and load pattern. The traditional load frequency control (LFC) mechanism may not be efficient to sustain the frequency regulation against these new challenges. Hence an intelligent, effective, and efficient controller is indispensable for various operating conditions of the power system. With this motive, a new intelligence-based controller (i.e., fuzzy (FOPI lambda) + PIDN) is proposed and explored for the LFC of the modern power system. Besides, an opposition-based volleyball premier league algorithm is deployed to obtain optimal control parameters for the most promising results. The justification of the controller is evaluated on a nonlinear interconnected hybrid deregulated power system for several case studies. The effectiveness of the proposed controller has been verified by comparing it with several popular strategies for the step and random perturbation in load. Also, the firmness in the dynamic response against a wide range of system parameter variations has been analyzed. Moreover, the participation of a modified high voltage direct current model with inertia emulation technique in the system's inertia build-up has been demonstrated. Finally, the efficacy of the proposed LFC scheme has been verified over previously published literature on their platform.

Automated summary

This study introduces a new intelligent controller for load frequency control in modern power systems and utilizes an opposition-based volleyball premier league algorithm to obtain optimal control parameters. The effectiveness of the proposed controller is validated through multiple case studies and compared with other strategies.