Abstract
This paper proposes an improved maximum power point tracking (MPPT) method for Wind system using a fuzzy with PLL algorithm. The main advantage of the method is the reduction of the steady state oscillation (to practically zero) once the maximum power point (MPP) is located. Furthermore, the proposed method has the ability to track the MPP for extreme environmental condition, e.g. large fluctuations of isolation and partial shading condition. The algorithm is simple and can be computed very rapidly. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging conditions, namely step changes in irradiance, step changes in load and partial shading of wind array. The proposed method in simulation shows it is efficient than the conventional controllers in terms of achieving maximum wind power generation effectively with steady state output compared to other conventional controllers.
| Original language | English |
|---|---|
| Title of host publication | 2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013 |
| Pages | 384-389 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - Aug 8 2013 |
| Event | 2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013 - Tirunelveli, India Duration: Mar 25 2013 → Mar 26 2013 |
Other
| Other | 2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013 |
|---|---|
| Country | India |
| City | Tirunelveli |
| Period | 3/25/13 → 3/26/13 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
Cite this
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Design and development of maximum power point tracking in wind power optimization using fuzzy PLL controller. / Govindaraj, T.; Ravi, S.; Balakrishnan, P. A.
2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013. 2013. p. 384-389 6528528.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Design and development of maximum power point tracking in wind power optimization using fuzzy PLL controller
AU - Govindaraj, T.
AU - Ravi, S.
AU - Balakrishnan, P. A.
PY - 2013/8/8
Y1 - 2013/8/8
N2 - This paper proposes an improved maximum power point tracking (MPPT) method for Wind system using a fuzzy with PLL algorithm. The main advantage of the method is the reduction of the steady state oscillation (to practically zero) once the maximum power point (MPP) is located. Furthermore, the proposed method has the ability to track the MPP for extreme environmental condition, e.g. large fluctuations of isolation and partial shading condition. The algorithm is simple and can be computed very rapidly. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging conditions, namely step changes in irradiance, step changes in load and partial shading of wind array. The proposed method in simulation shows it is efficient than the conventional controllers in terms of achieving maximum wind power generation effectively with steady state output compared to other conventional controllers.
AB - This paper proposes an improved maximum power point tracking (MPPT) method for Wind system using a fuzzy with PLL algorithm. The main advantage of the method is the reduction of the steady state oscillation (to practically zero) once the maximum power point (MPP) is located. Furthermore, the proposed method has the ability to track the MPP for extreme environmental condition, e.g. large fluctuations of isolation and partial shading condition. The algorithm is simple and can be computed very rapidly. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging conditions, namely step changes in irradiance, step changes in load and partial shading of wind array. The proposed method in simulation shows it is efficient than the conventional controllers in terms of achieving maximum wind power generation effectively with steady state output compared to other conventional controllers.
UR - http://www.scopus.com/inward/record.url?scp=84881065915&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881065915&partnerID=8YFLogxK
U2 - 10.1109/ICE-CCN.2013.6528528
DO - 10.1109/ICE-CCN.2013.6528528
M3 - Conference contribution
SN - 9781467350365
SP - 384
EP - 389
BT - 2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013
ER -