Open AccessReview on control techniques and methodologies for maximum power extraction from wind energy systems
Author(s) -
Hemanth Kumar Mekalathur B.,
Saravanan Balasubramanian,
Sanjeevikumar Padmanaban,
Blaabjerg Frede
Publication year - 2018
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2018.5206
Subject(s) - maximum power point tracking , wind power , convergence (economics) , maximum power principle , wind speed , rate of convergence , computer science , power (physics) , tracking (education) , control theory (sociology) , engineering , mathematical optimization , control (management) , photovoltaic system , artificial intelligence , mathematics , telecommunications , voltage , electrical engineering , channel (broadcasting) , physics , quantum mechanics , inverter , economic growth , meteorology , economics , psychology , pedagogy
This review study focuses on various methods and technologies used in past and present for obtaining maximum output power from a wind energy conversion system. There are plenty of solution for maximum power point (MPP), but the problem lies in the effective choice made among them and it needs the expert knowledge on every technique for picking up the best MPP method as every method on its own has some advantages and disadvantages. A comparison has been made among various MPP methods in terms of convergence time, efficiency, training, complexity and wind measurement. Here, different MPP tracking (MPPT) algorithms are classified based on wind speed measurement (WSR) and without WSR models. In this study, from the literature, a novel maximum electrical power tracking (MEPT) and maximum mechanical power tracking (MMPT) methods are compared with state‐of‐the‐art MPPT algorithms. On basis of the results obtained from the literature available, the MEPT algorithm has fast convergence rate of 15 ms; on the other hand, optimal relation‐based method is having large convergence rate of 364 ms and less efficient. A case study has been considered for performance validation, and MEPT and MMPT are having a good response for dynamic variation in wind speed.