Literature DB >> 33245537

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

Muhammad Zeeshan Malik1, Mazhar Hussain Baloch2, Mehr Gul3, Ghulam Sarwar Kaloi4, Sohaib Tahir Chauhdary5, Ali Asghar Memon2.   

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.

Entities:  

Keywords:  Conventional and modern algorithms; Indirect and direct power controller; Responsible Editor: Philippe Garrigues; Various maximum power point trackers; Wind turbine (WT)

Mesh:

Year:  2020        PMID: 33245537     DOI: 10.1007/s11356-020-11558-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

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

Authors:  Liping Fan; Xianyang Ma
Journal:  Sci Rep       Date:  2022-03-12       Impact factor: 4.379

  1 in total

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