The development of wind power plants is an economical solution to provide energy to remote communities. For these isolated systems, the cogeneration of diesel generators and wind turbines is a typical configuration, but also poses several technical challenges regarding load balancing and frequency control. Auxiliary devices such as battery storages, flywheels, and dump loads are often needed to ensure a more stable operation and a higher penetration level of wind energy. However, the cost of these auxiliary devices can be substantial. This paper proposes a two-stage stochastic optimization framework to determine the optimal size of energy storage devices in a hybrid wind-diesel system. The optimization problem considers two main uncertain factors, namely the wind speed and the load growth rate. An efficient scenario reduction method is also proposed to reduce the computational burden. The optimization framework is tested with a realistic case study.
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