Cooperative fault management for resilient integration of renewable energy

Cooperative fault management for resilient integration of renewable energy
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DOI:
10.1016/j.epsr.2022.108147
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发表时间:
2022
影响因子:
3.9
通讯作者:
Wenfeng Wan;Peng Zhang;Mikhail A. Bragin;P. Luh
Wenfeng Wan;Peng Zhang;Mikhail A. Bragin;P. Luh
中科院分区:
工程技术3区
文献类型:
--
作者:
Wenfeng Wan;Peng Zhang;Mikhail A. Bragin;P. Luh

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为了解决电力系统故障时不同类型可再生能源的协同控制问题,本文设计了协同故障管理(CFM)。本文研究了光伏(PV)能源和风能的高渗透系统。首先,CFM利用光伏电站的电源转换器来提高附近双馈感应发电机(DFIGs)的穿越能力。通过控制光伏电站在故障启动和故障清除过程中的输出电压平稳变化,DFIGs中广泛使用的撬棍不太可能被激活。撬棍激活会使DFIGs失去可控性并吸收无功功率。第二个贡献是开发了一个软件定义的CFM控制器和一个控制器在环演示了这个基于优化的CFM的实时性能。CFM利用分布式优化配方来实现灵活性、即插即用和隐私保护。然而,计算时间是基于优化的动力学控制的一个主要问题。实时环内控制器仿真结果表明,基于优化的CFM可以在60 ms左右输出参考值,并且能够快速进行动态控制。
Cooperative fault management (CFM) is designed herein to control different types of renewable energy resources cooperatively during electrical faults. This paper studies systems with a high penetration of photovoltaic (PV) energy and wind energy. First, CFM leverages power converters of PV farms to boost the ride-through capability of nearby doubly-fed induction generators (DFIGs). By controlling PV farms’ output voltages to change smoothly during both fault initiation and fault clearance, the widely used crowbar in DFIGs is less likely to be activated. Crowbar activation adversely makes DFIGs lose controllability and absorb reactive power. The second contribution is the development of a software-defined CFM controller and a controller-in-the-loop demonstration of the real-time performance of this optimization-based CFM. CFM capitalizes on distributed optimization formulation to enable flexibility, plug-and-play, and privacy-preserving. Computation time, however, is a major concern for optimization-based dynamics control. Real-time controller-in-the-loop simulation results show optimization-based CFM can output reference values around 60 ms and is quick enough for dynamic control.