摘要
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.
| 原文 | English |
|---|---|
| 主出版物標題 | 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017 |
| 發行者 | Institute of Electrical and Electronics Engineers Inc. |
| 頁面 | 1526-1530 |
| 頁數 | 5 |
| ISBN（電子） | 9781509051571 |
| DOIs | |
| 出版狀態 | Published - 2017 七月 25 |
| 事件 | 3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017 - Kaohsiung, Taiwan 持續時間: 2017 六月 3 → 2017 六月 7 |
Other
| Other | 3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017 |
|---|---|
| 國家 | Taiwan |
| 城市 | Kaohsiung |
| 期間 | 17-06-03 → 17-06-07 |
指紋
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Control and Optimization
引用此文
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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.研究成果: 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 - http://www.scopus.com/inward/record.url?scp=85034055178&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034055178&partnerID=8YFLogxK
U2 - 10.1109/IFEEC.2017.7992272
DO - 10.1109/IFEEC.2017.7992272
M3 - Conference contribution
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.
ER -