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Phasor measurement unit (PMU) can measure phasors directly, which provides an important technology for dynamic safety monitoring. Aiming at PMU measurements experience errors, a dynamic state estimation method for generators based on cubature Kalman filter (CKF) was proposed. In this method, the fourth order dynamic equations of generators were taken as the system function. The fading factor was introduced into CKF to keep the residual sequence orthogonal at all times, which improves the adaptability of the estimation algorithm. The adaptability of the estimation algorithm was improved, and the defect that the estimation result deviates from the real value due to the uncertain parameters of the generator model was overcome. Simulation results verified the effectiveness of the algorithm.

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同步相量测量单元（PMU）可直接测出相量信息，在动态安全监控方面发挥着重要的技术支撑作用。针对PMU量测存在随机误差的问题，提出了一种基于容积卡尔曼滤波（CKF）的发电机动态状态估计方式，主要是将四阶动态方程当作发电机系统方程，将次优渐消因子引入CKF中，使残差序列时刻保持正交，提高了估计算法的自适应性，克服了由于发电机模型参数不确定造成的估计结果偏离真实值的缺点，仿真亦验证了所提算法的有效性。

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陈思未（1991-），女，工程师，研究方向为电力系统，E-mail：574985882@qq.com

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陈思未（1991-），女，工程师，研究方向为电力系统，E-mail：574985882@qq.com

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