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Dynamic performance enhancement of a grid-connected wind farm using doubly fed induction machine-based flywheel energy storage system

机译:使用基于双馈感应电机的飞轮储能系统提高并网风电场的动态性能

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This paper presents the dynamic performance enhancement of a wind farm connected to an IEEE-39 bus New England test system using doubly-fed induction machine (DFIM)-based flywheel energy storage system (FESS). The variable wind speed causes fluctuations in the output power of the wind farms. The use of FESS smoothes the power of the wind farm and improves the dynamic response of the system during fluctuating wind speeds. A DFIM-based FESS is proposed in this study which works on an effective control technique. The cascaded black-box optimization technique based proportional-integral (PI) control strategy is implemented on the FESS. The PI controllers are used to control the insulated gate bipolar transistor (IGBT) based rotor side converter (RSC) and the grid side converter (GSC) of the DFIM. The PI controller In-depth modeling and control strategy of the system under study is presented. The effectiveness of the proposed system is tested under real-time wind speed data. The validity of the system is verified by the simulation results which are carried out using PSCAD/EMTDC.
机译:本文介绍了使用基于双馈感应电机(DFIM)的飞轮储能系统(FESS)连接到IEEE-39总线新英格兰测试系统的风电场的动态性能增强。可变的风速会导致风电场的输出功率波动。 FESS的使用可平滑风电场的功率,并在风速波动期间改善系统的动态响应。在这项研究中提出了基于DFIM的FESS,该FESS在有效的控制技术上起作用。在FESS上实现了基于比例积分(PI)控制策略的级联黑盒优化技术。 PI控制器用于控制DFIM的基于绝缘栅双极晶体管(IGBT)的转子侧转换器(RSC)和电网侧转换器(GSC)。提出了PI控制器所研究系统的深入建模和控制策略。该系统的有效性在实时风速数据下进行了测试。使用PSCAD / EMTDC进行的仿真结果验证了系统的有效性。

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