Hybrid Fuzzy Logic-Based MPPT for Wind Energy Conversion System
01 Jan 2020-pp 951-968
TL;DR: Modification of fuzzy-based MPPT method is displayed and results are compared with different MPPT techniques for wind energy conversion system, which have been done and are introduced in subtleties.
Abstract: Maximum power can be extricated when the turbine keeps running at a consistent and constant speed by using all the vitality present in the wind. The turbine can keep running at a steady speed just when the breeze speed is consistent. The wind vitality being wild in nature, maximum power must be achieved by making the turbine to keep running at the specific breeze speed. To achieve most extreme power, distinctive sorts of maximum power point tracking (MPPT) procedures are utilized. So as to comprehend prudent and proficient power age utilizing wind turbines, modification of fuzzy-based MPPT method is displayed and results are compared with different MPPT techniques for wind energy conversion system have been done and are introduced in subtleties.
Citations
More filters
TL;DR: Clear insight is presented supporting the suitability of MPPT techniques for different types of converter configurations.
Abstract: Solar photovoltaic (PV) systems are attracting a huge focus in the current energy scenario. Various maximum power point tracking (MPPT) methods are used in solar PV systems in order to achieve maximum power. In this article, a clear analysis of conventional MPPT techniques such as variable step size perturb and observe (VSS-P&O), modified incremental conductance (MIC), fractional open circuit voltage (FOCV) has been carried out. In addition, the soft computing MPPT techniques such as fixed step size radial basis functional algorithm (FSS-RBFA), variable step size radial basis functional algorithm (VSS-RBFA), adaptive fuzzy logic controller (AFLC), particle swarm optimization (PSO), and cuckoo search (CS) MPPT techniques are presented along with their comparative analysis. The comparative analysis is done under static and dynamic irradiation conditions by considering algorithm complexity, tracking speed, oscillations at MPP, and sensing parameters. The single-diode model PV panel and double-diode model PV panel are also compared in terms of fill factor (FF) and maximum power extraction. Clear insight is presented supporting the suitability of MPPT techniques for different types of converter configurations.
74 citations
Cites methods from "Hybrid Fuzzy Logic-Based MPPT for W..."
...In this article, the VSS-P&O, MIC, FOCV, FSS-RBFA, VSS-RBFA, AFLC, PSO, and CS-based MPPT techniques are used to track MPP....
[...]
...I t i rti l , r i r ti l i rri t t r tl l t i - [ ], ifi i t l t ( I ) [ ], [56], fixed step size radial basis functional algorithm (FSS-RBFA) [57], variable step siz radial basis functional algorithm (VSS-RBFA) [58], AFLC [52], PSO [59], and cuckoo search (CS) [60]....
[...]
...(a) Block diagram of the adaptive fuzzy system and (b) membership functions of an adaptive fuzzy logic controller (AFLC)....
[...]
...Rule-based AFLC for PPT tracking....
[...]
...In this article, the VSS-P&O, MIC, FOCV, FSS-RBFA, VSS-RBFA, AFLC, PSO, and CS-based MPPT techniques are used to track MPP. Figure 6....
[...]
TL;DR: This research paper will help researchers provide an accurate reference for future recommendations by selecting the best tracking algorithms in WES by reviewing and evaluating the exact tracking algorithm for WES applications.
Abstract: In the last few decades, wind energy has become a significant source of the renewable energy system, and it is essential to use wind energy for generating power and run the wind turbine system (WTs) at a higher level. With the rapid penetration of wind energy in the distributed generation system (DGS) and isolated micro-grid (MG), the WT runs at its optimal energy conversion output. For this, WT has to track or drive at the optimal power point tracking algorithm. However, various publications are available on MPPT algorithms for wind energy system (WES) applications, making a choice on exact trackers for a particular algorithm because each tracker has its advantages and disadvantages. Therefore, our primary goal is to review and evaluate the exact tracking algorithm for WES applications in this manuscript. To introduce the power controller, it is essential to track maximum power despite wind energy results. Besides, many algorithms have been evaluated, and their maximum output is achieved compared to their performance. This research paper will help researchers provide an accurate reference for future recommendations by selecting the best tracking algorithms in WES.
12 citations
06 May 2022
TL;DR: In this paper , the authors studied the control of a wind energy conversion system based on Permanent Magnet Synchronous Generator (PMSG) in order to enhance the efficiency of the wind turbine system.
Abstract: This research work studies the control of a wind energy conversion system (WECS) based on Permanent Magnet Synchronous Generator (PMSG). In order to enhance the efficiency of the wind turbine system, the maximum power point tracking (MPPT) control is integrated for exploiting the maximum available power from the wind. Two types of controllers have been proposed and developed, PI and Fuzzy Logic Control (FLC). Simulations results using Matlab Simulink show the performances of each one with a comparison of results.
2 citations
TL;DR: In this paper , a modified Marine Predator (MMP) controller is proposed to control the fuzzy system size with a few sensing devices to obtain the maximum output power of Solid Oxide (SO) fuel cells.
1 citations
09 Sep 2022
TL;DR: In this article , a wind power plant with an Improved Variable Step-Radial Basis Functional Network (IVS-RBFN)-based MPPT model has been developed by using MATLAB/Simulink window to analyze the significance of MPPT.
Abstract: AbstractGlobally, Renewable Energy Resources (RER) are playing a vital role in generating the electrical energy due to the conventional fossil fuel-based power plants which are harming the environment. Also, the availability of fossil fuels is going to run out. The primary resources for RER are sun, wind, hydro, and tidal. Among energy, the harnessing rate has been rapidly increased in solar Photovoltaic (PV) and wind power plants. Since sun and wind energy are abundant in nature, nevertheless, natural resources are seasonal which are varying concerning the climatic condition. Therefore, sun and wind power generators are produced fluctuating electrical energy which causes stability issues. It can be compensated by the Maximum Power Point Tracking (MPPT) technique. At present, the MPPT technique is incorporated with RER for generating maximum electrical energy based on available resources. In this manuscript, a wind power plant with an Improved Variable Step-Radial Basis Functional Network (IVS-RBFN)-based MPPT model has been developed by using MATLAB/Simulink window to analyze the significance of MPPT. The simulation results show that wind power plants are capable of generating constant power with the help of IVS-RBFN-based MPPT technique. Furthermore, the wind power output is significantly enhanced with the accurately designed boost converter.KeywordsBoost converterConvergence speedDuty cycleEnhancement of efficiencyLess steady state oscillationsPeak power pointWind plantWide output voltage
1 citations
References
More filters
TL;DR: In this paper, different available MPPT algorithms are described for extracting maximum power which are classified according to the power measurement i.e. direct or indirect power controller and compared in terms of complexity, wind speed requirement, prior training, speed responses, etc.
Abstract: Wind power is the most reliable and developed renewable energy source over past decades. With the rapid penetration of the wind generators in the power system grid, it is very essential to utilize the maximum available power from the wind and to operate the wind turbine (WT) at its maximal energy conversion output. For this, the wind energy conversion system (WECS) has to track or operate at the maximum power point (MPP). A decent variety of publication report on various maximum power point tracking (MPPT) algorithms for a WECS. However, making a choice on an exact MPPT algorithm for a particular case require sufficient proficiency because each algorithm has its own merits and demerits. For this reason, an appropriate review of those algorithms is essential. However, only a few attempts have been made in this concern. In this paper, different available MPPT algorithms are described for extracting maximum power which are classified according to the power measurement i.e. direct or indirect power controller. Merits, demerits and comprehensive comparison of the different MPPT algorithms also highlighted in the terms of complexity, wind speed requirement, prior training, speed responses, etc. and also the ability to acquire the maximal energy output. This paper serves as a proper reference for future MPPT users in selecting appropriate MPPT algorithm for their requirement.
408 citations
01 Aug 2006
TL;DR: In this article, an advanced incremental conductance MPPT algorithm with a variable step size for a solar array regulator (SAR) system is proposed, which adjusts automatically a step size to the solar array operating point, thus improving the MPPT speed and accuracy compared with the conventional method with a fixed step size.
Abstract: This paper proposes an advanced incremental conductance MPPT algorithm with a variable step size for a solar array regulator (SAR) system. This approach adjusts automatically a step size to the solar array operating point, thus improving the MPPT (maximum peak power tracking) speed and accuracy compared with the conventional method with a fixed step size. For the analysis of stability of the proposed algorithm near the maximum power point, the small signal modeling is carried out. Also, it is verified by experiment using a 180 W parallel connected prototype hardware
132 citations
27 Jun 2011
TL;DR: In this article, the state-of-the-art of available MPPT algorithms for wind energy system is reviewed and compared by using MATLAB/Simulink simulation package.
Abstract: This paper reviews and studies the state-of the-art of available maximum power point tracking (MPPT) algorithms. Due to the nature of the wind that is instantaneously changing, hence, there is only one optimal generator speed is desirable at one time that ensures the maximum energy is harvested from the available wind. Therefore, it is essential to include a controller that is able to track the maximum peak regardless of any wind speed. The available maximum power point tracking (MPPT) algorithms can be classified according to the control variable, namely with and without sensor, and also the technique used to locate the maximum peak. A comparison has been made on the performance of the selected MPPT algorithms on the basis of various speed responses and the ability to achieve the maximum energy yield. The tracking performance is performed by simulating wind energy system using MATLAB/Simulink simulation package. Besides that, a brief and critical discussion is made on the differences of available MPPT algorithms for wind energy system. Finally, a conclusion is drawn.
111 citations
01 Jan 2006
51 citations
23 Mar 2017
TL;DR: In this paper, the authors compared the Incremental Conductance (Inc-cond) method and the perturbation & observation method (P & O) in the MATLAB/SIMULINK environment.
Abstract: The connection between a photovoltaic generator (GPV) and a continuous type load is still a subject of study. This connection uses an adaptation stage acting as an interface between the GPV and the load. The adaptation stage is usually composed of a DC-DC converter monitored by a controller of the maximum power point MPPT (maximum power point tracking). The aim of this work is to realize a study and comparison between two methods of MPPT: the Incremental conductance (Inc-cond) method and the perturbation & observation method (P & O). For this we devoted a part of the work to the study of the components constituting the global photovoltaic system namely: the photovoltaic module, the DC-DC converter, and the MPPT controller. The second step is reserved to comparison between MPPT methods-both designed in the MATLAB / SIMULINK environment-performed by simulation. The comparison results demonstrated good performance of the Incremental Conductance method compared to the Perturbe & Observe method.
48 citations