This paper revises current power sharing algorithms used for de-loading operations in wind farms with variable speed wind turbines. In particular, we show that classic fair power sharing solutions can be obtained without requiring wind turbines to communicate local wind or power measurements, which is a very attractive feature for practical applications. For this purpose, algorithms borrowed from communication network theory, namely, Additive-Increase-Multiplicative-Decrease (AIMD) algorithms, are used to solve the power sharing problem in a decentralized fashion. Extensive simulations on wind farms consisting of ten wind turbines are provided to illustrate the potential and the efficacy of the proposed methodology.
A Decentralized Power Sharing Strategy for Wind Farm De-Loading
Crisostomi, Emanuele;Thomopulos, Dimitri;
2020-01-01
Abstract
This paper revises current power sharing algorithms used for de-loading operations in wind farms with variable speed wind turbines. In particular, we show that classic fair power sharing solutions can be obtained without requiring wind turbines to communicate local wind or power measurements, which is a very attractive feature for practical applications. For this purpose, algorithms borrowed from communication network theory, namely, Additive-Increase-Multiplicative-Decrease (AIMD) algorithms, are used to solve the power sharing problem in a decentralized fashion. Extensive simulations on wind farms consisting of ten wind turbines are provided to illustrate the potential and the efficacy of the proposed methodology.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
