Adaptive peak power tracking for back-to-back wind energy conversion system

Wei Chih Liang; Le Ren Chang-Chien

doi:10.1109/IFEEC.2017.7992272

Adaptive peak power tracking for back-to-back wind energy conversion system

Wei Chih Liang
, Le Ren Chang-Chien

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Maximum power point tracking (MPPT) has been widely studied since it is closely related to the efficiency of wind harvesting. Generally, there are two major approaches to realize MPPT. One is to reach the optimal power point by perturbing and observing the extracted wind power; the other is to reach the optimal power output by tracing the turbine power curve. Each approach has its pros and cons and their features are complementary to each other. This paper demonstrates a new peak power tracking algorithm which keeps the merits of these two types and avoid their drawbacks. The proposed algorithm is applied to the generator-side of the power converter to ensure that the wind turbine is running at peak power output.

Original language	English
Title of host publication	2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1526-1530
Number of pages	5
ISBN (Electronic)	9781509051571
DOIs	https://doi.org/10.1109/IFEEC.2017.7992272
Publication status	Published - 2017 Jul 25
Event	3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017 - Kaohsiung, Taiwan Duration: 2017 Jun 3 → 2017 Jun 7

Publication series

Name	2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017

Other

Other	3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017
Country/Territory	Taiwan
City	Kaohsiung
Period	17-06-03 → 17-06-07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/IFEEC.2017.7992272

Cite this

Liang, W. C., & Chang-Chien, L. R. (2017). Adaptive peak power tracking for back-to-back wind energy conversion system. In 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017 (pp. 1526-1530). Article 7992272 (2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IFEEC.2017.7992272

Liang, Wei Chih ; Chang-Chien, Le Ren. / Adaptive peak power tracking for back-to-back wind energy conversion system. 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1526-1530 (2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017).

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title = "Adaptive peak power tracking for back-to-back wind energy conversion system",

abstract = "Maximum power point tracking (MPPT) has been widely studied since it is closely related to the efficiency of wind harvesting. Generally, there are two major approaches to realize MPPT. One is to reach the optimal power point by perturbing and observing the extracted wind power; the other is to reach the optimal power output by tracing the turbine power curve. Each approach has its pros and cons and their features are complementary to each other. This paper demonstrates a new peak power tracking algorithm which keeps the merits of these two types and avoid their drawbacks. The proposed algorithm is applied to the generator-side of the power converter to ensure that the wind turbine is running at peak power output.",

author = "Liang, \{Wei Chih\} and Chang-Chien, \{Le Ren\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017 ; Conference date: 03-06-2017 Through 07-06-2017",

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doi = "10.1109/IFEEC.2017.7992272",

language = "English",

series = "2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Liang, WC & Chang-Chien, LR 2017, Adaptive peak power tracking for back-to-back wind energy conversion system. in 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017., 7992272, 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017, Institute of Electrical and Electronics Engineers Inc., pp. 1526-1530, 3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017, Kaohsiung, Taiwan, 17-06-03. https://doi.org/10.1109/IFEEC.2017.7992272

Adaptive peak power tracking for back-to-back wind energy conversion system. / Liang, Wei Chih; Chang-Chien, Le Ren.
2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1526-1530 7992272 (2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Adaptive peak power tracking for back-to-back wind energy conversion system

AU - Liang, Wei Chih

AU - Chang-Chien, Le Ren

PY - 2017/7/25

Y1 - 2017/7/25

N2 - Maximum power point tracking (MPPT) has been widely studied since it is closely related to the efficiency of wind harvesting. Generally, there are two major approaches to realize MPPT. One is to reach the optimal power point by perturbing and observing the extracted wind power; the other is to reach the optimal power output by tracing the turbine power curve. Each approach has its pros and cons and their features are complementary to each other. This paper demonstrates a new peak power tracking algorithm which keeps the merits of these two types and avoid their drawbacks. The proposed algorithm is applied to the generator-side of the power converter to ensure that the wind turbine is running at peak power output.

AB - Maximum power point tracking (MPPT) has been widely studied since it is closely related to the efficiency of wind harvesting. Generally, there are two major approaches to realize MPPT. One is to reach the optimal power point by perturbing and observing the extracted wind power; the other is to reach the optimal power output by tracing the turbine power curve. Each approach has its pros and cons and their features are complementary to each other. This paper demonstrates a new peak power tracking algorithm which keeps the merits of these two types and avoid their drawbacks. The proposed algorithm is applied to the generator-side of the power converter to ensure that the wind turbine is running at peak power output.

UR - https://www.scopus.com/pages/publications/85034055178

UR - https://www.scopus.com/pages/publications/85034055178#tab=citedBy

U2 - 10.1109/IFEEC.2017.7992272

DO - 10.1109/IFEEC.2017.7992272

M3 - Conference contribution

AN - SCOPUS:85034055178

T3 - 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017

SP - 1526

EP - 1530

BT - 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017

Y2 - 3 June 2017 through 7 June 2017

ER -

Liang WC, Chang-Chien LR. Adaptive peak power tracking for back-to-back wind energy conversion system. In 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1526-1530. 7992272. (2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017). doi: 10.1109/IFEEC.2017.7992272

Adaptive peak power tracking for back-to-back wind energy conversion system

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