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机构地区:[1]上海电力学院,上海200090 [2]国网山东省电力公司济宁供电公司,山东济宁272111
出 处:《电力系统保护与控制》2016年第22期159-165,共7页Power System Protection and Control
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。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.
关 键 词:孤岛检测 无功电流 频率波动 小波分析 神经网络
分 类 号:TM732[电气工程—电力系统及自动化] TM615
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