General Information
    • ISSN: 1793-821X
    • Frequency: Quarterly (2013-2014); Bimonthly (Since 2015)
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Julia S. Ma
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Editor-in-chief
School of Science and Technology Universiti Malaysia Sabah, Malaysia.
I would like to express my appreciation to all authors, reviewers and edtors.
JOCET 2015 Vol.3(2): 91-105 ISSN: 1793-821X
DOI: 10.7763/JOCET.2015.V3.175

Optimal Placing of Wind Turbines: Modelling the Uncertainty

Timo Leenman and Frank Phillipson
Abstract—When looking at the optimal place to locate a wind turbine, trade-offs have to be made between local placement and spreading: transmission loss favours local placements and the correlation between the stochastic productions of wind turbines favours spreading. In this paper steps are described to determine the locations of new wind mills that minimize energy loss on the High Voltage power grid. A vindication of the used power grid model is provided, the simulation procedure for stochastic wind power is described and the required mathematical optimization models are described as well as implemented. Results are shown and their relation to real life problems is discussed. The analysis leads to the observation that in reality the entire Dutch coast is popular to locate wind turbines but the only region where this leads to actual reduction of the losses is the North (Groningen and Friesland). Next to this, at the current share of wind energy in the total network load, a spreading strategy to reduce variance of total wind power production does not seem advisable. At higher penetration (30% or more) spreading will become important.

Index Terms—Optimizing energy generation, wind turbines placement, transportation losses, optimization methods.

Timo Leenman and Frank Phillipson are with the TNO, Delft, the Netherlands (e-mail: frank.phillipson@tno.nl).

[PDF]

Cite:Timo Leenman and Frank Phillipson, "Optimal Placing of Wind Turbines: Modelling the Uncertainty," Journal of Clean Energy Technologies vol. 3, no. 2, pp. 91-105, 2015.

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