A research on conventional and modern algorithms for maximum power extraction from wind energy conversion system: a review

Malik, Muhammad Zeeshan; Baloch, Mazhar Hussain; Gul, Mehreen; Kaloi, Ghulam Sarwar; Chauhdary, Sohaib Tahir; Memon, Ali Asghar

doi:10.1007/s11356-020-11558-6

Cited by 16 publications

(6 citation statements)

References 48 publications

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“…The control of the mechanical output power is necessary because, in the third region (N rated − N W − C off ), the turbine has already achieved its maximum power limit. The abovementioned discussion implies that Area 2 is the best place to apply WECS maximum power point tracking [41][42][43]. on artificial intelligence are taken into consideration.…”

Section: Mppt In Windmentioning

confidence: 99%

Wind Energy Conversion Systems Based on a Synchronous Generator: Comparative Review of Control Methods and Performance

et al. 2023

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Recently, controlling a wind energy conversion system (WECS) under fluctuating wind speed and enhancing the quality of power delivered to the grid has been a demanding challenge for many researchers. This paper provides a comprehensive review of synchronous generator-based WECSs. This paper will investigate the growth of wind energy in Egypt and throughout the world, as well as the technological and financial significance of wind energy. The block diagram of a typical grid-connected WECS, power control techniques, characteristic power curve-based maximum power point tracking (MPPT), and MPPT techniques are also presented in this study. Moreover, this study compares different power converter topologies for grid-connected and independent WECSs that use a permanent magnet synchronous generator (PMSG).

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Section: Mppt In Windmentioning

confidence: 99%

Wind Energy Conversion Systems Based on a Synchronous Generator: Comparative Review of Control Methods and Performance

et al. 2023

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“…Table 1 provides an overview of the contemporary research on the efficacy of intelligence based-MPPT techniques applied to wind energy conversion systems. WECS PVS [13] Processes 2023, 11, x FOR PEER REVIEW 3 of 23…”

Section: Types and Numbers Of Mpptmentioning

confidence: 99%

Evaluating the Efficacy of Intelligent Methods for Maximum Power Point Tracking in Wind Energy Harvesting Systems

Umar,

Alkawsi,

Jailani

et al. 2023

Processes

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As wind energy is widely available, an increasing number of individuals, especially in off-grid rural areas, are adopting it as a dependable and sustainable energy source. The energy of the wind is harvested through a device known as a wind energy harvesting system (WEHS). These systems convert the kinetic energy of wind into electrical energy using wind turbines (WT) and electrical generators. However, the output power of a wind turbine is affected by various factors, such as wind speed, wind direction, and generator design. In order to optimize the performance of a WEHS, it is important to track the maximum power point (MPP) of the system. Various methods of tracking the MPP of the WEHS have been proposed by several research articles, which include traditional techniques such as direct power control (DPC) and indirect power control (IPC). These traditional methods in the standalone form are characterized by some drawbacks which render the method ineffective. The hybrid techniques comprising two different maximum power point tracking (MPPT) algorithms were further proposed to eliminate the shortages. Furtherly, Artificial Intelligence (AI)-based MPPT algorithms were proposed for the WEHS as either standalone or integrated with the traditional MPPT methods. Therefore, this research focused on the review of the AI-based MPPT and their performances as applied to WEHS. Traditional MPPT methods that are studied in the previous articles were discussed briefly. In addition, AI-based MPPT and different hybrid methods were also discussed in detail. Our study highlights the effectiveness of AI-based MPPT techniques in WEHS using an artificial neural network (ANN), fuzzy logic controller (FLC), and particle swarm optimization (PSO). These techniques were applied either as standalone methods or in various hybrid combinations, resulting in a significant increase in the system’s power extraction performance. Our findings suggest that utilizing AI-based MPPT techniques can improve the efficiency and overall performance of WEHS, providing a promising solution for enhancing renewable energy systems.

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“…Advanced control technology is an alternative solution to improve the overall performance of an energy system. Among them, the Maximum power point tracking (MPPT) algorithm is recognized as an effective method to solve the problem of power output efficiency of power generation system, which has been widely used in photovoltaic power generation system (PV) 10 – 13 , wind power generation system 14 , 15 , and wind solar hybrid power system 16 . In recent years, the application of MPPT in fuel cell system has been reported 17 – 19 .…”

Section: Introductionmentioning

confidence: 99%

Maximum power point tracking of PEMFC based on hybrid artificial bee colony algorithm with fuzzy control

2022

Sci Rep

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Maximum power point tracking (MPPT) is an effective method to improve the power generation efficiency and power supply quality of a proton exchange membrane fuel cell (PEMFC). Due to the inherent nonlinear characteristics of PEMFC, conventional MPPT methods are often difficult to achieve a satisfactory control effect. Considering this, artificial bee colony algorithm combining fuzzy control (ABC-fuzzy) was proposed to construct a MPPT control scheme for PEMFC. The global optimization ability of ABC algorithm was used to approach the maximum power point of PEMFC and solve the problem of falling into local optimization, and fuzzy control was used to eliminate the problems of large overshoot and slow convergence speed of ABC algorithm. The testing results show that compared with perturb & observe algorithm, conductance increment and ABC methods, ABC-fuzzy method can make PEMFC obtain greater output power, faster regulation speed, smaller steady-state error, less oscillation and stronger anti-interference ability. The MPPT scheme based on ABC-fuzzy can effectively realize the maximum power output of PEMFC, and plays an important role in improving the service life and power supply efficiency of PEMFC.

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A research on conventional and modern algorithms for maximum power extraction from wind energy conversion system: a review

Cited by 16 publications

References 48 publications

Wind Energy Conversion Systems Based on a Synchronous Generator: Comparative Review of Control Methods and Performance

Wind Energy Conversion Systems Based on a Synchronous Generator: Comparative Review of Control Methods and Performance

Evaluating the Efficacy of Intelligent Methods for Maximum Power Point Tracking in Wind Energy Harvesting Systems

Maximum power point tracking of PEMFC based on hybrid artificial bee colony algorithm with fuzzy control

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