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首页> 外文期刊>Industrial Electronics, IEEE Transactions on >Stability Enhancement of a Power System With a PMSG-Based and a DFIG-Based Offshore Wind Farm Using a SVC With an Adaptive-Network-Based Fuzzy Inference System
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Stability Enhancement of a Power System With a PMSG-Based and a DFIG-Based Offshore Wind Farm Using a SVC With an Adaptive-Network-Based Fuzzy Inference System

机译：带有基于自适应网络的模糊推理系统的SVC的基于PMSG和DFIG的海上风电场的电力系统稳定性增强

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摘要

This paper presents the stability-improvement results of a synchronous generator (SG)-based one-machine infinite-bus system with a permanent-magnet SG (PMSG)-based offshore wind farm (OWF) and a doubly fed induction generator (DFIG)-based OWF using a static VAR compensator (SVC). The operating characteristics of the studied two OWFs are simulated by an equivalent aggregated PMSG driven by an equivalent wind turbine (WT) and an equivalent aggregated DFIG driven by an equivalent WT through an equivalent gearbox, respectively. A damping controller of the SVC is designed by using adaptive-network-based fuzzy inference system (ANFIS) to contribute adequate damping characteristics to the dominant modes of the studied SG under various operating conditions. A frequency-domain approach based on a linearized system model using root-loci technique and a time-domain scheme based on a nonlinear system model subject to various disturbances are both utilized to examine the effectiveness of the proposed control scheme. It can be concluded from the simulation results that the proposed SVC joined with the ANFIS damping controller is capable of improving the stability of the studied SG system subject to different disturbances.
机译：本文介绍了基于同步发电机（SG）的单机无穷大系统的稳定性改进结果，该系统具有基于永磁SG（PMSG）的海上风电场（OWF）和双馈感应发电机（DFIG）静态VAR补偿器（SVC）的基于OWF的OWF。被研究的两个OWF的运行特性分别由等效风力涡轮机（WT）驱动的等效聚合PMSG和等效WT通过等效齿轮箱驱动的等效聚合DFIG进行模拟。通过使用基于自适应网络的模糊推理系统（ANFIS）设计SVC的阻尼控制器，以在各种工况下为研究的SG的主导模式贡献足够的阻尼特性。基于线性系统模型的根域定位技术的频域方法和基于受到各种干扰的非线性系统模型的时域方案均被用来检验所提出的控制方案的有效性。从仿真结果可以得出结论，所提出的SVC与ANFIS阻尼控制器配合使用能够提高研究的SG系统在不同扰动下的稳定性。

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