0
Research Papers

Dynamic Optimization of Drivetrain Gear Ratio to Maximize Wind Turbine Power Generation—Part 2: Control Design

[+] Author and Article Information
Dongmei Chen

e-mail: dmchen@me.utexas.edu
Department of Mechanical Engineering,
University of Texas at Austin,
Austin, TX 78712

Performed on a MS Windows-based 64-bit system with an Intel Core i7-950 processor and 12.0 GB of RAM.

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received July 17, 2011; final manuscript received April 5, 2012; published online October 30, 2012. Assoc. Editor: Alexander Leonessa.

J. Dyn. Sys., Meas., Control 135(1), 011017 (Oct 30, 2012) (10 pages) Paper No: DS-11-1213; doi: 10.1115/1.4006886 History: Received July 17, 2011; Revised April 05, 2012; Accepted April 24, 2012

The cost of electrical power produced by small wind turbines impedes the use of this technology, which can otherwise provide power to millions of homes in rural regions worldwide. To encourage their use, small wind turbines must capture wind energy more effectively while avoiding increased equipment costs. A variable ratio gearbox (VRG) can provide this capability to the simple fixed-speed wind turbine through discrete operating speeds. This is the second of a two-part publication that focuses on the control of a VRG-enabled wind turbine. The first part presented a 100 kW fixed speed, wind turbine model, and a method for manipulating the VRG and mechanical brake to achieve full load operation. In this study, an optimal control algorithm is developed to maximize the power production in light of the limited brake pad life. Recorded wind data are used to develop a customized control design that is specific to a given site. Three decision-making modules interact with the wind turbine model developed in Part 1 to create possible VRG gear ratio (GR) combinations. Dynamic programming is applied to select the optimal combination and establish the operating protocol. The technique is performed on 20 different wind profiles. The results suggest an increase in wind energy production of nearly 10%.

FIGURES IN THIS ARTICLE
<>
© 2013 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Fig. 2

Modified rules used with program optimization

Grahic Jump Location
Fig. 1

Power curve for VRG, defining regions 2′ and 3′

Grahic Jump Location
Fig. 3

Wind turbine decision-making model

Grahic Jump Location
Fig. 4

Decision-making structure for preliminary programming

Grahic Jump Location
Fig. 5

Example of a valid (top) and an invalid (bottom) VRG combination

Grahic Jump Location
Fig. 6

Dynamic programming algorithm for computing the cost at step k

Grahic Jump Location
Fig. 7

Plot showing total energy produced (top), brake wear (middle), and cost (bottom) for site 16577 (set no. 16) for weight, α = 0.960

Grahic Jump Location
Fig. 8

Technique for finding optimal VRG combination, and weight variable, α, that will be used to operate the wind turbine

Grahic Jump Location
Fig. 9

Surface plot showing total cost (top) and total energy (bottom) as a function of α for each of the 575,413 gear combination for site 16577 (set no. 16)

Grahic Jump Location
Fig. 10

Plot showing wind speed (top), additional energy produced by the VRG (bottom, left axis) and cumulative brake pad used (bottom, right axis) over a three-year period, for site 21291 (set no. 14), programmed with a weight coefficient, α = 0.980

Grahic Jump Location
Fig. 11

Results for site 21291 (set no. 14) with weight, α = 0.980, showing VRG power curve (top), gear data used for control (upper–middle), power dissipated (lower–middle), and turbine speed (bottom)

Grahic Jump Location
Fig. 12

Optimal VRG ratios for each set of wind data

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In