Published May 2019 | Version v1
Journal article

Theoretical derivation of wind plant power distribution with the consideration of wind turbine reliability

  • 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.