Monitoring of DC Lines with Distributed Wind Power Based on Variable Scale Filtering

XU Yan,XIA Jingde,LUO Jinyu,SHAO Wenquan,MIAO Siyu,YANG Xiuchuan

Distributed Energy ›› 2022, Vol. 7 ›› Issue (4) : 48-55.

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Distributed Energy ›› 2022, Vol. 7 ›› Issue (4) : 48-55. DOI: 10.16513/j.2096-2185.DE.2207407
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Monitoring of DC Lines with Distributed Wind Power Based on Variable Scale Filtering

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A large number of harmonics will be generated after distributed wind power is connected to the DC line through the converter. In order to solve the influence of harmonic interference and improve the fast and reliable monitoring of DC lines, an impedance-targeted monitoring method based on variable-scale filtering characteristics is proposed. According to the system safety requirements, the method performs integral monitoring and processing methods for the electrical quantities containing harmonics for different periods of time to facilitate subsequent protection. A shorter integral time window is adopted, taking into account the characteristics of harmonics, and identifying serious conditions based on smaller impedances. The high setting value is used to monitor the abnormal state of signaling. A longer integration time window is used to strengthen the influence of harmonics and monitor system faults, and the influence of the auxiliary current faced by the longer integration time window is solved through direction discrimination and coefficient setting. Using PSCAD simulation software to verify under different system conditions, the results show that the scheme can quickly identify faults in the area, and can avoid interference when faced with severe harmonic influence, and has the ability to accurately judge various operating conditions of the system, which is better than traditional impedance. The protection is more suitable for DC line monitoring to meet engineering requirements.

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Yan XU , Jingde XIA , Jinyu LUO , et al . Monitoring of DC Lines with Distributed Wind Power Based on Variable Scale Filtering[J]. Distributed Energy Resources. 2022, 7(4): 48-55 https://doi.org/10.16513/j.2096-2185.DE.2207407

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Funding

Project supported by Key Research and Development Projects of Shaanxi Province(2020GY-169)
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