Figure 3 - uploaded by Ibraheem Kasim Ibraheem
Content may be subject to copyright.
Source publication
In order to extract efficient power generation, a wind turbine (WT) system requires an accurate maximum power point tracking (MPPT) technique. Therefore, a novel robust variable-step perturb-and-observe (RVS-P&O) algorithm was developed for the machine-side converter (MSC). The control strategy was applied on a WT based permanent-magnet synchronous...
Contexts in source publication
Context 1
... energetic and environmental constraints of the WT-PMSG presented above required the application of a sophisticated supervision system and an adequate energymanagement system. The control scheme is described in Figure 3, in which the control strategy was divided into two main parts: MSC and GSC. ...
Context 2
... dynamical behavior of the RVS-P&O-MPPT applied to the MSC was analyzed, as depicted in Figure 13, in terms of settling time, rise time, and undershoot. Whatever the instantaneous variations in the wind speed, the power extracted was the maximum value. ...
Context 3
... produced energy quality was better in terms of oscillation frequency and power loss, with an overall estimated efficiency o 99.35% by means of the proposed technique. The dynamical behavior of the RVS-P&O-MPPT applied to the MSC was analyze as depicted in Figure 13, in terms of settling time, rise time, and undershoot. Whatever t instantaneous variations in the wind speed, the power extracted was the maximum valu The settling time (s) given by RVS-P&O was 0.00794; meanwhile, it was 0.2224 and 0.08 for VS-P&O and LS-P&O, respectively. ...
Context 4
... energetic and environmental constraints of the WT-PMSG presented above required the application of a sophisticated supervision system and an adequate energymanagement system. The control scheme is described in Figure 3, in which the control strategy was divided into two main parts: MSC and GSC. ...
Context 5
... dynamical behavior of the RVS-P&O-MPPT applied to the MSC was analyzed, as depicted in Figure 13, in terms of settling time, rise time, and undershoot. Whatever the instantaneous variations in the wind speed, the power extracted was the maximum value. ...
Context 6
... produced energy quality was better in terms of oscillation frequency and power loss, with an overall estimated efficiency o 99.35% by means of the proposed technique. The dynamical behavior of the RVS-P&O-MPPT applied to the MSC was analyze as depicted in Figure 13, in terms of settling time, rise time, and undershoot. Whatever t instantaneous variations in the wind speed, the power extracted was the maximum valu The settling time (s) given by RVS-P&O was 0.00794; meanwhile, it was 0.2224 and 0.08 for VS-P&O and LS-P&O, respectively. ...
Similar publications
This paper focuses on the development of ANN based MPPT interfaced Permanent magnet synchronous generator (PMSG) for wind energy conversion system (WECS). It focuses on design and modeling aspects of the completely different elements of the WECS like the fundamental model of ANN based MPPT controller, MLI, wind turbine, optimum maximum power point...
Wind power’s increasing use and its integration into the utility grid have prompted scholars to focus more on the refinement of wind power harvesting systems, injecting stable power and providing ancillary services to the utility grid. This article introduces a novel hybrid approach termed as sine cosine algorithm and transient search optimization...
This paper presents a study and implementation of an eolic emulator platform for a wind energy generation system (EEP-WEGS), which is based on mathematical models that describe the static and dynamic behaviors of a wind turbine, composed of a permanent magnet synchronous generator. The management of electrical power generated from the mathematical...
The main aim of this paper is the optimal power extraction based on an intelligent structure. It is implemented through fuzzy gain scheduling of PID (FGS-PID) controller in combination with the radial basis function network sliding mode (RBFNSM) for controlling a grid-connected hybrid generating system. A wind turbine (WT) based on the permanent ma...
In this paper, a wind energy conversion system (WECS) is presented for the electrification of rural areas with wind energy availability. A three-phase AC-DC converter based on a bridgeless Cuk converter is used for power extraction from the permanent magnet synchronous generator (PMSG). The bridgeless topology enables the elimination of the front-e...
Citations
... It also, when the rotor suddenly has rapid variations, causes imprecise wind speed sensors, resulting in deviation when extracting the maximum power. The second method, P&O, is easy and inexpensive, requiring no knowledge of generator parameters or wind speed [6]. The P&O search algorithm for MPPT control is widely utilized in PV energy systems. ...
The paper presents an algorithm for harvesting optimal power points (OPP) utilizing the direct power control (DPC) technique of the dual-fed induction generator (DFIG) wind turbine. The conventional Fibonacci search algorithm (FSA) technique cannot find the exact global peak (GP) strategy and may fail. It proposes a new modified Fibonacci search algorithm (MFSA) to extract (OPP) with variable-speed wind energy turbines (VSWET), which is very important for many people and companies. Among the other different algorithms, the MFSA is more efficient and has a simple strategy to track the optimal power point that depends on calculating the effective speed of the Ω in an interval [a, b]. The research paper suggests modifying the Fibonacci-based search on the rotor side conversion (RSC) of a 7.5 KW DFIG in the WECS wind energy conversion strategy. The simulation uses the built-in MATLAB/SIMULINK (R2023a) software. It demonstrates the ease of implementation, lower total harmonic distortion THD and efficiency since it uses a step size that is not fixed based on the Fibonacci sequence.
... Also, the PI controller is used to control the reference value of the active power. The MPPT based on the PI controller strategy used in this paper is detailed in the scientific works (Zine et al., 2022;Chhipą et al., 2022;Toumi et al., 2022;Khan et al., 2022;Mohamed et al., 2021;Chojaa et al., 2022;Yessef et al., 2022). This classical MPPT strategy was used to simplify the system and focus the work on the proposed strategy to control the machine inverter. ...
In this paper, the performance and efficacy of the super-twisting algorithm (STA) were improved by using fractional calculus theory (FCT). A new form is given to the STA controller based on the FCT technique to control the asynchronous generator (AG) based wind power system (WPS). With the main focus on improving the characteristics and quality of reactive power, active power, and electric current, objective functions are calculated, including indices of ripples in active and reactive power, current and torque, and the total harmonic distortion (THD) value of the stator current. In this work,
this proposed STA-FCT controller is used to obtain better performance and improve the features of the indirect field-oriented control (IFOC) for AG-based WPS. The designed AG control model has been validated using Matlab/Simulink software. In the first test, the THD of current, active power, and reactive power ripples of the AG-WPS was improved by 99.46%, 96.74%, and 94.07%, respectively. Also, the designed IFOC-STA-FCT technique provided a better dynamic response than the traditional IFOC technique. The robustness of the designed strategy was tested in the second test. In this test, the
designed IFOC strategy significantly minimized the active and reactive power ripples compared to the classical IFOC technique (64.34% and 53.56%), and the THD value was tolerably decreased (98.85%) compared to the traditional IFOC strategy. While the dynamic response is always better in the case of the designed IFOC-STA-FCT technique.
... The Buck converter is a crucial energy conversion apparatus that assumes a significant role in distributed power supply systems and wind power generation systems [1] by enabling stabilization of the output voltage at the reference output voltage. Consequently, enhancing the performance of the controller has the potential to substantially augment energy conversion efficiency, mitigate energy losses, and improve system stability. ...
This study proposes a continuous adaptive finite-time fractional-order sliding mode control method for fractional-order Buck converters. In order to establish a more accurate model, a fractional-order model based on the Riemann-Liouville (R-L) definition of the Buck converter is developed, which takes into account the non-integer order characteristics of electronic components. The R-L definition is found to be more effective in describing the Buck converter than the Caputo definition. To deal with parameter uncertainties and external disturbances, the proposed approach combines these factors as lumped matched disturbances and mismatched disturbances. Unlike previous literature that assumes a known upper bound of disturbances, adaptive algorithms are developed to estimate and compensate for unknown bounded disturbances in this paper. A continuous finite-time sliding mode controller is then developed using a backstepping method to achieve a chattering-free response and ensure a finite-time convergence. The convergence time for the sliding mode reaching phase and sliding mode phase is estimated, and the fractional-order Lyapunov theory is utilized to prove the finite-time stability of the system. Finally, simulation results demonstrate the robustness and effectiveness of the proposed controller.
... The last-mentioned approach is one of the conventional MPPT techniques, owning a simple design and ease of implementation, the perturbation and observation technique is characterized by way of its simplicity and independence from the characteristics of the wind turbine [47][48][49][50][51]. The major drawback of this MPPT algorithm is that it cannot respond accurately, and has a poor ability to track the [52,53]. Larger step sizes lead to larger steady-state oscillations around the MPP, while smaller step sizes slow down the dynamic response. ...
In the field of wind turbine performance optimization, many techniques are employed to track the maximum power point (MPPT), one of the most commonly used MPPT algorithms is the perturb and observe technique (P&O) because of its ease of implementation. However, the main disadvantage of this method is the lack of accuracy due to fluctuations around the maximum power point. In contrast, MPPT control employing neural networks proved to be an effective solution, in terms of accuracy. The contribution of this work is to propose a hybrid maximum power point tracking control using two types of MPPT control: neural network control (NNC) and the perturbation and observe method (P&O), thus the P&O method can offer better performance. Furthermore, this study aims to provide a comparison of the hybrid method with each algorithm 𝑃&𝑂 and NNC. At the resulting duty cycle of the 2 methods, we applied the combination operation. A DC-DC boost converter is subjected to the hybrid MPPT control. This converter is part of a wind energy conversion system employing a permanent magnet synchronous generator (PMSG). The chain is modeled using MATLAB/Simulink software. The effectiveness of the controller is tested at varying wind speeds. In terms of the Integral time absolute error (ITAE), using the P&O technique, the ITAE is 9.72. But, if we apply the suggested technique, it is smaller at 4.55. The corresponding simulation results show that the proposed hybrid method performs best compared to the P&O method. Simulation results ensure the performance of the proposed hybrid MPPT control.
... There are many control loops in the current control system, and the single input single output control loop is the most classical and basic control loop in the control system (Toumi et al., 2022;Saidi et al., 2022;Serrano et al., 2022;Humaidi et al., 2022Humaidi et al., , 2020Hamida et al., 2022;Ben Njima et al., 2021;Ghoudelbourk et al., 2021;Pilla et al., 2021a,b;Ajeil et al. 2020a,b;Azar and Serrano, 2015). In 1989, Harris proposed a control system performance evaluation method based on minimum variance minimum variance benchmark for single input single output system. ...
In view of the fact that the output is only disturbed by error in most of the current system studies, this article proposes a closed-loop variable system model with error (both input and output signals are disturbed by noise) and designs the controller of the system. In this study, minimum variance controller and self-correcting minimum variance controller are designed using minimum variance control. Then an example is given to evaluate the performance of the designed controller using minimum variance performance evaluation. Finally, the closed-loop variable error system is combined with the quadrotor UAV (unmanned aerial vehicle), and the position controller in the position control loop of the quadrotor UAV is designed. The experimental results show that the controller has good performance and can well meet the design needs.
... It focuses on the process that governs how the components and system change over time. In the literature, there are many applications of dynamic modeling in machine learning, deep learning, computational intelligence, control systems, robotics, sensor network and cyber-security (Ben Smida et al., 2018;Lamamra et al., 2017;Grassi et al., 2017;Mohanty et al., 2021 ;Ghoudelbourk et al., 2022Ghoudelbourk et al., , 2021Ghoudelbourk et al., , 2016Mekki et al., 2015;Dudekula et al., 2023 ;Hussain et al., 2023 ;El-Shorbagy et al., 2023 ;Ramadan et al., 2022 ;Ashfaq et al., 2022a,b;Waleed et al., 2022 ;Jothi et al., 2022Jothi et al., , 2020Jothi et al., , 2019Jothi et al., , 2013Lavanya et al., 2022 ;Inbarani et al., , 2020Inbarani et al., , 2018Inbarani et al., , 2014Inbarani et al., , 2015Boulmaiz et al., 2022 ;Fouad et al., 2021 ;Elfouly et al., 2021 ;Khan et al., 2021 ;Aslam et al., 2021 ;Nasser et al., 2021 ;Hussien et al., 2020 ;Kumar et al., 2019Kumar et al., , 2015aMjahed et al., 2020 ;Banu et al., 2017 ;Ben Abdallah et al., 2016Emary et al., 2014a,b;Anter et al., 2015Anter et al., , 2013Elshazly et al., 2013a,b ;Azar et al., , 2012Aziz et al., 2013). The general layout of the DPC applied to the three-phase PWM rectifier bridge using a switching table is depicted in Figure 1. ...
... Robustness is commonly characterised as the bare minimum that a control system must meet in order to be usable in a real situation. Once created, the controller's settings do not alter, and control performance is assured (Ahmed et al., 2023a(Ahmed et al., ,b, 2022aSergiyenko et al., 2023 ;Kengne et al., 2023a,b ;Hashim et al., 2023 ;Hameed et al., 2023 ;Fekik et al., 2023a,b ;Zhang et al., 2023 ;Wang et al., 2023 ;Dendani et al., 2023 ;Toumi et al., 2022 ;Mahdi et al. 2022 ;Ali el al., 2022a,b ;Abdul-Kareem et al., 2022;Abed et al., 2022;Sekhar et al., 2022 ;Saidi et al., 2022;Al Mhdawi et al., 2022 ;Lajouad et al., 2021;El Kafazi et al., 2021 ;Sundaram et al., 2021 ;Alimi & Azar, 2021;Tolba et al., 2017a,b ;Soliman et al., 2017Soliman et al., , 2020Wang et al., 2017;Humaidi et al. 2022Humaidi et al. , 2021Humaidi et al. , 2020Djeddi et al., 2019;Shukla et al., 2018;Khettab et al., 2018;Vaidyanathan et al., 2021aVaidyanathan et al., ,b,c,d,e, 2019Vaidyanathan et al., , 2018aVaidyanathan et al., ,b,c,d, 2017aVaidyanathan et al., ,b,c, 2015aVaidyanathan and Azar, 2021, 2016a,b,c,d,e,f, 2015aSantoro et al., 2013). Figure 11 depicts the DC link capacitor voltage; when a step voltage is applied at t=0.5s, it can be seen that the proposed DPC structure needs 0.05s to reach the references value. ...
This article introduces a novel and effective diagram based on direct instantaneous power control (DPC) of a PWM-controlled rectifier connected to the grid without a switching table. An optimum control vector of the PWM rectifier's input voltage, which depends on the switching states determined by a Petri nets controller, is adopted. This approach limits the instantaneous detection errors of reactive and active powers, maintains the DC bus voltage at a reference level, and ensures current close to a sinusoidal wave, guaranteeing operation at a unit power factor. The instantaneous tracking errors of active and reactive powers and the angular position of the voltage are used as input variables for the proposed controller, which then selects the best control vector for the converter based on the transition of a Petri net. The significant advantages of DPC based on Petri nets compared to traditional switching tables are that hysteresis comparators are not required, and the classical regulation of active and reactive powers is achieved in all sectors. Simulation and testing findings demonstrated excellent performance, supporting the viability of the suggested control approach using Petri nets.
... In tandem, metaheuristic algorithms, such as genetic programming and particle swarm optimization, empower AI systems to solve complex problems by mimicking natural processes of optimization and exploration. Robotics, on the other hand, serves as the embodiment of AI in the physical world, leveraging computational intelligence and metaheuristics to create intelligent machines capable of autonomous action and interaction with their environment (Al Mhdawi et al., 2022;Toumi et al., 2022;Abed et al., 2022;Daraz et al., 2022Daraz et al., , 2021Mahdi et al., 2022;Najm et al., 2022;Abdul-Adheem et al., 2022, 2020aHumaidi et al., 2023Humaidi et al., , 2022Saidi et al., 2022;Ghoudelbourk et al., 2022Ghoudelbourk et al., , 2021Ghoudelbourk et al., , 2020Ghoudelbourk et al., , 2016Ajel et al., 2021;Bouchemha et al., 2021;Rana et al., 2021;Lajouad et al., 2021;Al-Qassar et al., 2021b;Hamiche et al., 2021;Ibraheem et al., 2020a;Kammogne et al., 2020;Alain et al., 2020;Ghazizadeh et al., 2018). Together, these components epitomize the multifaceted nature of AI, driving innovation and reshaping the boundaries of technological possibility. ...
The difficulty in predicting early cancer is due to the lack of early illness indicators. Metaheuristic approaches are a family of algorithms that seek to find the optimal values for uncertain problems with several implications in optimization and classification problems. An automated system for recognizing illnesses can respond with accuracy, efficiency, and speed, helping medical professionals spot abnormalities and lowering death rates. This study proposes the Novel Hybrid GAO (Genetic Arithmetic Optimization algorithm based Feature Selection) (Genetic Arithmetic Optimization Algorithm-based feature selection) method as a way to choose the features for several machine learning algorithms to classify readily available data on COVID-19 and lung cancer. By choosing just important features, feature selection approaches might improve performance. The proposed approach employs a Genetic and Arithmetic Optimization to enhance the outcomes in an optimization approach.
... As a linear controller, the PI regulator controls an object by linearly combining the proportional and integral deviations of the given value with the actual output value to form a control deviation [120][121][122][123][124]. (Figure 10 shows the working principle of the PI controller). [126]. Dong et al. studied the simple power controller of a horizontal axis-independent power flow generation system. ...
Renewable energy provides an effective solution to the problem existing between energy and environmental protection. Tidal energy has great potential as a form of renewable energy. Tidal current generation (TCG) technology is the earliest renewable energy power generation technology. The advancement of science and technology has led to TCG rapidly developing since its emergence in the last century. This paper investigates the development of TCG in recent years based on the key components of TCG systems, both in terms of tidal energy harvesting research and power generation unit research. A summary of tidal energy harvesting is presented, investigating the main tidal energy harvesting units currently available. In addition, research on generators and generator control is summarized. Lastly, a comparison between horizontal and vertical axis turbines is carried out, and predictions are made about the future trends in TCG development. The purpose of this review is to summarize the research status and research methods of key components in tidal energy power generation technology and to provide insight into the research of tidal energy-related technologies.
... Another study proposed a new robust variable-step perturb-and-observe (RVS-P&O)-based MPPT algorithm [18]. The proposed approach was applied to a wind-turbinebased PMSG. ...
This paper focuses on the performance analysis, modeling, and control of permanent magnet synchronous generator (PMSG)-based wind energy conversion. This work analyzes controllers for the machine-side converter (MSC) and grid-side converter (GSC) and presents a new direct torque control (DTC) scheme based on a 12-sectors polygonal DTC for variable speed control of the PMSG. The proposed method solves the drawbacks faced by conventional six-sectors DTC control. The proposed method utilizes 12 sectors of 30° each compared to 60° in the conventional 6-sectors DTC. The 12-sectors technique was applied to voltages and flux vectors to increase the degrees of freedom for the selection of optimal vectors and, thus, reduce the torque ripple. This work analyzed the aforementioned DTC methods using MATLAB/Simulink, comparing the dynamic response of the proposed 12-sectors DTC with the conventional 6-sectors DTC control, and the results verified the effectiveness of the proposed DTC control.
