Control coordination between DFIG-based wind turbines and synchronous generators for optimal primary frequency response
Control coordination between DFIG-based wind turbines and synchronous generators for optimal primary frequency response
复制标题
基于 DFIG 的风力涡轮机和同步发电机之间的控制协调，以实现最佳的一次频率响应
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Héctor Pulgar
中科院分区：
文献类型：
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作者：
S. Morovati;Héctor Pulgar
本文提出了一种基于双馈感应发电机（DFIG）的同步发电机（SG）和风力涡轮机（WT）之间的新型协调机制，以增强一次频率调节。敦促风力发电场参与频率调节，特别是在风电渗透率不断增加的情况下。 WT 控制支持是可能的，但由于WT 缺乏能量存储，这种支持是暂时的。这一缺点可能导致 SG 管理者的响应进一步延迟，或者当 WT 支持结束时进一步频率衰减。拟议的协调尝试解决这个问题。人工神经网络（ANN）用于获得最佳协调信号以改善频率响应。作为概念验证，所提议的协调在 9 总线测试系统上进行了测试，其中包括具有 5 个风轮的风电场。仿真结果表明，频率最低点降低了约22%，系统频率变化率（RoCoF）降低了约29.5%。需要进一步的工作来在大型系统中验证这一概念，但迄今为止所取得的进展和成果有望增强电力系统。
This paper proposes a novel coordinating mechanism between synchronous generators (SGs) and wind turbines (WTs) based on doubly-fed induction generators (DFIGs) for enhanced primary frequency regulation. WTs are urged to participate on frequency regulation, specially if wind power penetration keeps increasing. WTs control support is possible, but it is transient due to the WTs lack of energy storage. This drawback can result in either a further delayed response from the governors of SGs or further frequency decay when WTs support is over. The proposed coordination attempt to tackle this issue. An artificial neural network (ANN) is used to obtain an optimal coordination signal to improve frequency response. As a proof of concept, the proposed coordination is tested on a 9-bus test system that includes a wind farm with 5 WTs. Simulation results show that frequency nadir is reduced in about 22% and rates of change of the system frequency (RoCoF) in about 29.5%. Further work is needed to validate this concept in large-scale systems, but the development and results obtained so far are promising to strengthen power systems.
通过模型参考控制对柴风系统馈电微电网进行性能保证惯性仿真
DOI：
10.1109/isgt.2017.8085976
发表时间：
2017
期刊：
2017 IEEE PES Innovative Smart Grid Technologies Conference
影响因子：
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作者：
Zhang, Yichen;Melin, Alexander;Djouadi, Seddik;Olama, Mohammed
通讯作者：
Olama, Mohammed
影响因子：
6.6
作者：
Yichen Zhang;A. Melin;S. Djouadi;M. Olama;K. Tomsovic
通讯作者：
Yichen Zhang;A. Melin;S. Djouadi;M. Olama;K. Tomsovic