Development of Maximum Power Point Tracking for Doubly-Fed Induction Generators in Wind Energy Conversion Systems

Duy C. Huynh, Khai H. Nguyen, Matthew W. Dunnigan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Maximum power point tracking (MPPT) control is one of the essential requirements in harnessing wind power of wind energy conversion systems (WECS). The more precise the maximum power point (MPP) is determined, the more optimal the WECS is operated. Amongst MPPT algorithms, a hill-climb search (HCS) algorithm is preferred because of its simplicity however it also has few drawbacks such as the difficulty of selecting an appropriate step size, the premature convergence phenomenon and the speed-efficiency trade-off. A cuckoo search (CS) algorithm is proposed in this paper for finding out a MPP of a WECS driven by a doubly-fed induction generator (DFIG) under various wind speeds which mostly overcomes the above disadvantages. Then, the DFIG-WECS is controlled to track the MPP. This ensures that the DFIG-WECS is always operated at MPPs regardless of various wind speeds. It is realized that the proposed CS algorithm is also a population-based algorithm inspired from the breeding behavior of cuckoos but it is quite simple, powerful and especially requires less parameters to define optimal solutions than a genetic algorithm (GA) and a particle swarm optimization (PSO) algorithm. Though numerical results, the CS algorithm shows its effectiveness in finding out MPPs in the DFIG-WECS. Furthermore, the obtained results using the CS algorithm are also compared with those using the HCS and PSO algorithms. The comparison demonstrates that the convergence value and speed of the CS algorithm are always better than those of the HCS and PSO algorithms in the MPPT application in the DFIG-WECS.

Original languageEnglish
Title of host publicationInECCE 2019
PublisherSpringer
Pages669-679
Number of pages11
ISBN (Electronic)9789811523175
ISBN (Print)9789811523168
DOIs
Publication statusPublished - 24 Mar 2020
Event5th International Conference on Electrical, Control and Computer Engineering 2019 - Kuantan, Malaysia
Duration: 29 Jul 201929 Jul 2019

Publication series

NameLecture Notes in Electrical Engineering
Volume632
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference5th International Conference on Electrical, Control and Computer Engineering 2019
Abbreviated titleInECCE 2019
CountryMalaysia
CityKuantan
Period29/07/1929/07/19

Keywords

  • Doubly-Fed induction generators
  • Maximum power point tracking
  • Wind energy conversion systems

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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