CAJ | 학술논문

现代电力系统中，由于可再生能源输出功率、负荷变化以及其他随机过程的存在，使得系统状态参数中往往混杂着噪声，因此有必要采取适当的方法，从随机干扰的观测信号中提取有效的系统状态参数。首先对卡尔曼滤波基本理论进行了介绍，给出了卡尔曼滤波的基本过程。然后主要综述卡尔曼滤波及其扩展形式在电力系统短期负荷预测、动态状态估计、电能质量分析、继电保护、风电场风速预测、电机状态和参数估计等方面的应用。最后给出了卡尔曼滤波在电力系统中应用的相关结论及其未来发展趋势。
현대전력계통중，유우가재생능원수출공솔、부하변화이급기타수궤과정적존재，사득계통상태삼수중왕왕혼잡착조성，인차유필요채취괄당적방법，종수궤간우적관측신호중제취유효적계통상태삼수。수선대잡이만려파기본이론진행료개소，급출료잡이만려파적기본과정。연후주요종술잡이만려파급기확전형식재전력계통단기부하예측、동태상태고계、전능질량분석、계전보호、풍전장풍속예측、전궤상태화삼수고계등방면적응용。최후급출료잡이만려파재전력계통중응용적상관결론급기미래발전추세。
In the modern power system, its state parameters are often mixed with noise since the existing of output power of renewable energy, load changing and other stochastic processes. Therefore, taking the appropriate method is needed to extract the valid system state parameters from observed signal involving stochastic disturbance. An outline of Kalman filtering method is described and the basic process of Kalman filter is given;then Kalman filter and its extended form on the application of short-term load forecasting, dynamic state estimation, power quality analysis, relay protection, wind speed forecasting, motor state and parameters estimation are surveyed;finally, the relevant conclusions of Kalman filter in the application of power system are pointed out and its development trend is proposed.