Published June 16, 2014 | Version v1
Journal article

Principal wind turbines for a conditional portfolio approach to wind farms

  • 1. DEIO-CIO, Science faculty, University of Lisbon (Portugal)
  • 2. Center for Theoretical and Computational Physics, University of Lisbon (Portugal)
  • 3. Center for Geophysics, IDL, University of Lisbon (Portugal)
  • 4. ForWind-Center for Wind Energy Research, Institute of Physics, Carl-von-Ossietzky University of Oldenburg, Oldenburg (Germany)

Description

We introduce a measure for estimating the best risk-return relation of power production in wind farms within a given time-lag, conditioned to the velocity field. The velocity field is represented by a scalar that weighs the influence of the velocity at each wind turbine at present and previous time-steps for the present ''state'' of the wind field. The scalar measure introduced is a linear combination of the few turbines, that most influence the overall power production. This quantity is then used as the condition for computing a conditional expected return and corresponding risk associated to the future total power output

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/524/1/012183

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
524
Journal Issue
1
Journal Page Range
[9 p.]
ISSN
1742-6596

Conference

Title
5. science of making torque from wind conference 2014
Acronym
TORQUE2014
Dates
18-20 Jun 2014
Place
Copenhagen (Denmark)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46083022
Subject category
S17: WIND ENERGY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
POWER GENERATION; VELOCITY; WIND POWER; WIND POWER PLANTS; WIND TURBINE ARRAYS; WIND TURBINES
Descriptors DEC
ENERGY SOURCES; EQUIPMENT; MACHINERY; POWER; POWER PLANTS; RENEWABLE ENERGY SOURCES; TURBINES; TURBOMACHINERY