Short-term Predictable Power of a Wind Farm via Distributed Control of Wind Generators with Integrated Storage
For wind farm operators, this work provides a distributed control method to enhance short-term power predictability, though the results are simulation-based and incremental.
This paper introduces a leader-follower consensus protocol for coordinating wind generators with integrated storage, enabling a wind farm to track a power reference while ensuring equal storage contribution. Simulations on the IEEE 24-bus system demonstrate the approach's effectiveness.
In this paper we introduce a Leader-follower consensus protocol and study its stability properties with and without communication delays. On the practical side, we explore its application on coordinating a group of wind Double-Fed Induction Generators (DFIGs) with integrated storage. To begin with, we establish asymptotic stability of the consensus protocol by employing singular perturbation theory. Subsequently, we establish asymptotic stability of the protocol under communication delays using a Lyapunov-Krasovskii functional. Lastly, we use the proposed protocol to design a methodology that can be adopted by a fleet of state-of-the-art wind generators (WGs). The objective is that the WGs selforganize and control their storage devices such that WF total power output is tracking a reference while equal contribution from each storage device is attained i.e equal power output from each storage. We demonstrate the effectiveness of our results and the corresponding approach via simulations on the IEEE 24-bus RT system.