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Fuzzy-based approach for power smoothing of a full-converter wind turbine generator using a supercapacitor energy storage
Electric Power Systems Research ( IF 3.9 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.epsr.2020.106287
Wilhiam C. de Carvalho , Rodrigo P. Bataglioli , Ricardo A.S. Fernandes , Denis V. Coury

Abstract Wind turbine generators (WTGs) are one of the fastest growing renewable energy source technologies. Due to the nature of wind, power fluctuations of WTGs can cause significant problems in the distribution network. In this study a fuzzy-based approach is proposed for a full-converter WTG coupled with a supercapacitor energy storage system. The fuzzy system is designed to smooth out the wind power fluctuations and also maintain an energy reserve of the supercapacitor for short-term grid disturbances. The fuzzy approach is thoroughly tested and compared with a conventional power smoothing technique and with the case without an energy storage system (ESS). Closed-loop digital simulations showed that the proposed fuzzy scheme enhances wind power smoothing and properly manages the state of charge (SOC) of the supercapacitor during faults in the simulated microgrid. Having less power fluctuations and the availability of the ESS to comply with the low-voltage ride through (LVRT) requirement, the WTG and the microgrid operation were considerably improved.

中文翻译:

使用超级电容器储能的基于模糊的全变流风力涡轮发电机功率平滑方法

摘要 风力涡轮发电机(WTGs)是发展最快的可再生能源技术之一。由于风的性质,WTG 的功率波动会导致配电网络出现重大问题。在这项研究中,提出了一种基于模糊的方法,用于与超级电容器储能系统耦合的全变流器 WTG。模糊系统旨在消除风电波动,并为短期电网干扰保持超级电容器的能量储备。模糊方法经过全面测试,并与传统的功率平滑技术以及没有储能系统 (ESS) 的情况进行比较。闭环数字仿真表明,所提出的模糊方案增强了风力发电的平滑性,并在模拟微电网出现故障期间正确管理超级电容器的荷电状态 (SOC)。由于功率波动较小且 ESS 的可用性符合低电压穿越 (LVRT) 要求,WTG 和微电网运行得到了显着改善。
更新日期:2020-07-01
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