Performance Analysis of Conjugate Gradient Algorithms Applied to the Neuro-Fuzzy Feedback Linearization-Based Adaptive Control Paradigm for Multiple HVDC Links in AC/DC Power System

Abstract

Abstract:The existing literature predominantly concentrates on the utilization of the gradient descent algorithm for control systems' design in power systems for stability enhancement. In this paper, various flavors of the Conjugate Gradient (CG) algorithm have been employed to design the online neuro-fuzzy linearization-based adaptive control strategy for Line Commutated Converters' (LCC) High Voltage Direct Current (HVDC) links embedded in a multi-machine test power system. The conjugate gradient algorithms are evaluated based on the damping of electro-mechanical oscillatory modes using MATLAB/Simulink. The results validate that all of the conjugate gradient algorithms have outperformed the gradient descent optimization scheme and other conventional and non-conventional control schemes.

Adaptive Feedback Linearization Based NeuroFuzzy Maximum Power Point Tracking for a Photovoltaic System

“…The battery (200 Ah) and SC (165 F) are used as backup sources. The Simulink models of WT, PV, SOFC, the electrolyzer, the battery, SC, and MT used in this work have been presented in [21]. All the sources of HRES are modeled for the cumulative dynamic load of the residential and CS.…”

Archives of Electrical Engineering

“…For these model-based methods, because the system order is very high, the mathematical model of the system usually has to be obtained through the identification method [6]. Recently, extensive research has been carried out to propose power oscillation damping and maintain the frequency stability of the interconnection system applying the Lyapunov theory [7], sliding mode control [8], model predictive control [9,10], neuro-fuzzy feedback linearization [11], and auto disturbance rejection control [12]. In terms of using the feedback signal, it mainly includes frequency signals and power signals, with the application of wide-area measurement systems (WAMS) in power systems [13], it becomes possible to use the inertial center signal for wide area damping control [14].…”