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Lihua Zeng - IEEE Xplore Author Profile
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Lihua Zeng

Also published under: L. H. Zeng

Publications
4
Citations
35
Publications by Year
20092011
Co-Authors:
Show All Co-Authors (6)
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Lihua Zeng

Also published under: L. H. Zeng

Affiliation

Hebei electric power design and research institute, Shijiazhuang, China

Publication Topics

Biography

L. H. Zeng is a Master student at Hohai University, and her special fields of interest included planning of wind farms and optimal arrangement of wind turbines.(Based on document published on 4 December 2009).
Publications
4
Citations
35
Publications by Year
20092011
Co-Authors:
Show All Co-Authors (6)
Author's Published Works

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Study on the wind speed frequency distribution with AR-GARCH model

F. Wang;D. Y. Liu;L. H. Zeng;S. L. Chen;L. Zhou

2009 International Conference on Sustainable Power Generation and Supply
Year: 2009 | Conference Paper |
The main existing mathematical models that describe wind speed frequency distribution were introduced in this paper, and the characteristics and limitations of each model were analyzed. Then, based on the considerations of the actual wind speed frequency distribution features, AR-GARCH model was adopted here in order to fully reflect the randomicity and wave character of the wind speed varied with...Show More

Study on the wind speed frequency distribution with AR-GARCH model

F. Wang;D. Y. Liu;L. H. Zeng;S. L. Chen;L. Zhou

Year: 2009 | Conference Paper |

Modeling and simulation of optimal wind turbine configurations in wind farms

Feng Wang;Deyou Liu;Lihua Zeng

2009 World Non-Grid-Connected Wind Power and Energy Conference
Year: 2009 | Conference Paper |
Cited by: Papers (22)
Wake effect is a key factor leading to the efficiency decrease of the whole wind farm. For different configurations of wind turbines, the accurate prediction of wake effect between wind turbines is vital to the calculation of wind farm cost and benefit. To describe the wake effect better in the wind turbine optimization, a new non-linear wake expansion of the wake model was introduced into the cal...Show More

Modeling and simulation of optimal wind turbine configurations in wind farms

Feng Wang;Deyou Liu;Lihua Zeng

Year: 2009 | Conference Paper |

Study on computational grids in placement of wind turbines using genetic algorithm

Feng Wang;Deyou Liu;Lihua Zeng

2009 World Non-Grid-Connected Wind Power and Energy Conference
Year: 2009 | Conference Paper |
Cited by: Papers (13)
To optimize the placement of wind turbines using a genetic algorithm for the fixed size of wind farm, the appropriate computational grids are the basis of the succeeding work. The optimized scheme was tightly restricted by the rationality and accuracy of computational grids. In this paper, based on the consideration of actual wind and wake characteristics of wind turbines, the (a) shape of the gri...Show More

Study on computational grids in placement of wind turbines using genetic algorithm

Feng Wang;Deyou Liu;Lihua Zeng

Year: 2009 | Conference Paper |

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