This chapter deals with probabilistic approaches for the steady-state analysis (probabilistic load flow) of distribution systems with wind farms. The probabilistic analysis is performed taking into account the randomness of both the distribution system loads and the wind energy production. Several approaches are presented to obtain the probability functions of state and dependent variables (e.g., voltage amplitudes and line flows). These approaches are mainly concentrated on wind farm probabilistic models, using one of the classical probabilistic techniques (e.g., Monte Carlo simulation, convolution process, and special distribution functions) to perform the probabilistic load flow. Numerical applications on a 17-bus balanced test distribution system and on an IEEE 34-bus unbalanced test distribution system are presented and discussed, considering the various wind farm models.
Probabilistic Approaches for the Steady-State Analysis of Distribution Systems with Wind Farms / A., Bracale; G., Carpinelli; A. R., Di Fazio; Russo, Angela - In: Handbook of Wind Power Systems / Panos M. Pardalos, Steffen Rebennack, Mario V. F. Pereira, Niko A. Iliadis, Vijay Pappu. - Berlin Heidelberg : Springer Berlin Heidelberg, 2013. - ISBN 9783642410796. - pp. 245-282 [10.1007/978-3-642-41080-2_8]
Probabilistic Approaches for the Steady-State Analysis of Distribution Systems with Wind Farms
RUSSO, ANGELA
2013
Abstract
This chapter deals with probabilistic approaches for the steady-state analysis (probabilistic load flow) of distribution systems with wind farms. The probabilistic analysis is performed taking into account the randomness of both the distribution system loads and the wind energy production. Several approaches are presented to obtain the probability functions of state and dependent variables (e.g., voltage amplitudes and line flows). These approaches are mainly concentrated on wind farm probabilistic models, using one of the classical probabilistic techniques (e.g., Monte Carlo simulation, convolution process, and special distribution functions) to perform the probabilistic load flow. Numerical applications on a 17-bus balanced test distribution system and on an IEEE 34-bus unbalanced test distribution system are presented and discussed, considering the various wind farm models.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2584478
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