Theoretical derivation of wind plant power distribution with the consideration of wind turbine reliability
Creators
- 1. Atilim University, Department of Industrial Engineering, Ankara (Turkey)
- 2. Atilim University, Department of Energy Systems Engineering, Ankara (Turkey)
Description
Highlights: • The wind plant power distribution is derived. • Reliability values of the turbines are taken into account. • Wind speed distribution is utilized. -- Abstract: The wind power generated by a wind plant has a stochastic nature due to randomness in the wind speed. Although the empirical distribution of the wind power has been extensively studied by using data sets in different regions, several works focused on theoretical distribution of the wind power produced by wind turbines. In this paper, the theoretical distribution of the wind plant power is obtained. In the derivation of the distribution of the wind plant power, wind turbine reliability is taken into account. The wind plant power distribution can be effectively used if the wind speed probability distribution is known. Theoretical results are illustrated for Weibull and Birnbaum–Saunders wind speed distributions which have been found to be suitable for real data collected at two different locations.
Additional details
Identifiers
- DOI
- 10.1016/j.ress.2018.12.018;
- PII
- S0951832018300012;
Publishing Information
- Journal Title
- Reliability Engineering and System Safety
- Journal Volume
- 185
- Journal Page Range
- p. 192-197
- ISSN
- 0951-8320
- CODEN
- RESSEP
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55017035
- Subject category
- S17: WIND ENERGY;
- Descriptors DEI
- COMPUTERIZED SIMULATION; RANDOMNESS; RELIABILITY; STOCHASTIC PROCESSES; VELOCITY; WIND; WIND POWER; WIND POWER PLANTS; WIND TURBINES
- Descriptors DEC
- ENERGY SOURCES; EQUIPMENT; MACHINERY; POWER; POWER PLANTS; RENEWABLE ENERGY SOURCES; SIMULATION; TURBINES; TURBOMACHINERY
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier Ltd. All rights reserved.