Fractional Order Fuzzy Control of Hybrid Power System with Renewable Generation Using Chaotic PSO

TL;DR

This paper introduces a fractional order fuzzy control scheme for hybrid renewable power systems, optimized with chaotic PSO, demonstrating improved performance and robustness over traditional controllers.

Contribution

It proposes a novel FO fuzzy control method with chaotic PSO tuning for hybrid power systems, enhancing stability and robustness in complex renewable energy networks.

Findings

Better control performance than PID and fuzzy PID controllers

Enhanced robustness against system parameter variations

Effective in both linear and nonlinear regimes

Abstract

This paper investigates the operation of a hybrid power system through a novel fuzzy control scheme. The hybrid power system employs various autonomous generation systems like wind turbine, solar photovoltaic, diesel engine, fuel-cell, aqua electrolyzer etc. Other energy storage devices like the battery, flywheel and ultra-capacitor are also present in the network. A novel fractional order (FO) fuzzy control scheme is employed and its parameters are tuned with a particle swarm optimization (PSO) algorithm augmented with two chaotic maps for achieving an improved performance. This FO fuzzy controller shows better performance over the classical PID, and the integer order fuzzy PID controller in both linear and nonlinear operating regimes. The FO fuzzy controller also shows stronger robustness properties against system parameter variation and rate constraint nonlinearity, than that with the other controller structures. The robustness is a highly desirable property in such a scenario since many components of the hybrid power system may be switched on/off or may run at lower/higher power output, at different time instants.