Published September 2019 | Version v1
Journal article

The optimization and the application for the wind turbine power-wind speed curve

  • 1. The State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing, 400030 (China)

Description

An optimized wind turbine power-wind speed curve (P-v curve) was presented in this paper to solve the problems in the low-wind-speed regions like the large wind speed variation and the low wind turbine efficiency. When the wind speed was lower than the cut-in wind speed, the operation mode of the wind turbine was changed by the extra power supplied by the motor excitation source to keep the wind turbine operating. The application condition of the optimized P-v curve was derived and calculated. The effects of various wind speeds on the powers and the power generation of the wind turbine were analyzed by comparison with and without the improvement. The results indicated that the prolonged working period, the improved efficiency of the wind turbine and the incremental power generation were induced by the usage of the optimized P-v curve. The cut-in wind speed was declined by 42.8%. The power generation was enhanced by 73.4% at the actual wind condition of some wind field. The motor power was augmented with the huge amplitude of the wind speed. Compared with the traditional P-v curve, the optimized P-v curve was more suitable for the lower average and larger amplitude of the wind speed.

Additional details

Identifiers

DOI
10.1016/j.renene.2019.03.051;
PII
S0960148119303568;

Publishing Information

Journal Title
Renewable Energy
Journal Volume
140
Journal Page Range
p. 52-61
ISSN
0960-1481
CODEN
RNENE3

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55022682
Subject category
S17: WIND ENERGY;
Descriptors DEI
MOTORS; OPTIMIZATION; POWER GENERATION; WIND; WIND TURBINES
Descriptors DEC
ENGINES; EQUIPMENT; MACHINERY; TURBINES; TURBOMACHINERY

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.