| 引用本文: | 唐忠,朱瑞婷,张合栋,等.基于无功电流扰动的孤岛与扰动辨识的研究[J].电力系统保护与控制,2016,44(22):159-165. |
| TANG Zhong,ZHU Ruiting,ZHANG Hedong,et al.Identification research of the island and the disturbance based on reactive current disturbance[J].Power System Protection and Control,2016,44(22):159-165 |
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| 摘要: |
| 为了防止孤岛检测时电网扰动的干扰并提高孤岛与电网扰动辨识的准确率，提出了一种能够减小检测盲区且不带入有功功率扰动的孤岛与电网扰动辨识新方法。该方法是在检测到公共耦合点电压波动后，通过注入周期性无功电流扰动，迫使公共耦合点电压频率出现相应波动。利用小波分析分解公共耦合点电压频率信号得到的高频分量作为特征分量，用神经网络进行孤岛与扰动的辨识。通过理论分析与仿真实验证明该方法能准确辨识孤岛与电网扰动。 |
| 关键词: 孤岛检测 无功电流 频率波动 小波分析 神经网络 |
| DOI：10.7667/PSPC151921 |
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| 基金项目: |
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| Identification research of the island and the disturbance based on reactive current disturbance |
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TANG Zhong1,ZHU Ruiting1,ZHANG Hedong2,TIAN Liangyu1
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(1. Shanghai University of Electric Power, Shanghai 200090, China; ;2. Jining Power Supply Company,
State Grid Shandong Electric Power Company, Jining 272111, China)
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| Abstract: |
| In order to prevent the interference of power network disturbance and improve the accuracy of island and the disturbance identification, this paper proposes a new identification method of the island and the disturbance, which can reduce the non-detection zone and the active power disturbance. When the voltage fluctuation is detected, a periodic reactive disturbing current which affects the voltage frequency of the point of common coupling is applied. The high frequency component of the common coupling point voltage frequency signal decomposed by wavelet analysis is put into the neural network as the characteristic component to identify. Theoretical analysis and simulation results prove that the method can accurately identify island and grid disturbances. |
| Key words: islanding detection reactive current frequency fluctuation wavelet analysis neural network |
