通过风电机组分布式控制与集成储能实现风电场短期可预测功率
Short-term Predictable Power of a Wind Farm via Distributed Control of Wind Generators with Integrated Storage
AI总结：
本文提出一种领导者-跟随者一致性协议，研究其稳定性特性，并应用于协调带有集成储能的风力发电机群，通过仿真验证了协议在风电场功率输出跟踪参考值及储能设备等功率输出方面的有效性。
摘要：
本文介绍了一种领导者-跟随者一致性协议，并研究其在有无通信延迟情况下的稳定性特性。在实际应用中，我们探讨了其在协调带有集成储能的风力双馈感应发电机（DFIG）群方面的应用。首先，通过奇异摄动理论建立了协议的渐近稳定性。随后，利用Lyapunov-Krasovskii函数建立了在通信延迟下的渐近稳定性。最后，我们使用所提出的协议设计了一种可应用于先进风电机组群的方法。目标是使风电机组自我组织并控制其储能设备，以实现风电场总功率输出跟踪参考值，同时每个储能设备提供相等的功率输出。我们通过IEEE 24节点RT系统仿真验证了结果的有效性及相应方法的可行性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
