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/10.1088/1742-6596/524/1/012183Additional details
Identifiers
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