Rooted Tree Optimization for Wind Turbine Optimum Control Based on Energy Storage System

Abstract

The integration of wind turbines (WTs) in variable speed drive systems belongs to the main factors causing low stability in electrical networks. Therefore, in order to avoid this issue, WTs hybridization with a storage system is a mandatory. This paper investigates WT system operating at variable speed. The system contains of a permanent magnet synchronous generator (PMSG) supported by a battery storage system (BSS). To enhance the quality of active and reactive power injected into the network, direct power control (DPC) scheme utilizing space-vector modulation (SVM) technique based on proportional-integral (PI) control is proposed. Meanwhile, to improve the rendition of this method (DPC-SVM-PI), the rooted tree optimization technique (RTO) algorithm-based controller parameter identification is used to achieve PI optimal gains. To compare the performance of RTO-based controllers, they were implemented and tested along with some other popular controllers under different working conditions. The obtained results have shown the supremacy of the suggested PI RTO algorithm compared to competing controllers regarding total harmonic distortion (THD), overshoot percentage, settling time, rise time, average active power value, overall efficiency, and active power steadystate error.

Novel Architecture for Image Classification Based on Rough Set

“…Machine Learning (ML) is now widely used in research and implemented in a wide range of applications, including control systems, robotics, medical diagnostics, fraud detection, autonomous driving, image and audio classification, and multimedia concept retrieval (Abed et al, 2022;Lavanya et al, 2022Lavanya et al, , 2021Azar, & Banu, 2022;Ananth et al, 2021;Sain et al, 2022;Saidi et al, 2022;Panda & Azar, 2021;Acharyulu et al, 2021;Ajeil et al, 2020a,b;Ibraheem et al, 2020a, b;Najm et al, 2020;Liu et al, 2020Liu et al, , 2022Sekhar et al, 2022;Mustafa et al, 2020;Ghoudelbourk et al, 2021;Cheema et al, 2020;Kamal et al, 2020;Humaidi et al, 2020a,b;Elfouly et al, 2021;Khan et al, 2021;Elkholy et al, 2020a;Barakat et al, 2020;Pilla et al, 2021aPilla et al, ,b, 2020Pilla et al, , 2019Amara et al, 2019;Babajani et al, 2019;Habibifar et al, 2019;Gorripotu et al, 2019;Ammar et al, , 2019Ammar et al, , 2018Pintea et al, 2018;Ben Smida et al, 2018;Ghazizadeh et al, 2018;Meghni et al, 2023Meghni et al, , 2017aGiove et al, 2013;…”

Anti-Windup Pitch Angle Control for Wind Turbines Based on Bounded Uncertainty and Disturbance Estimator

“…However, the aging of components and the accumulation of waste on the blades can lead to changes in the aerodynamic power-pitch angle relationship, and thus, it will reduce the control effectiveness in practice. To deal with this, Billel et al [11] proposed a direct power control based on PI control using space vector modulation technology, and optimizes the gain of PI control using a root optimization algorithm, improving the stability of wind turbine power generation. Furthermore, Ibrahim et al [12] have developed a fractional order PID (FOPID) variable pitch controller based on oppositional brain storm optimization (OBSO).…”