The dynamic equivalent model of power system inevitably exists some errors. The trajectory sensitivities of the tie lines power to the equivalent parameters reveal the quantitative relation between the equivalent error and model parameter, which can be used to optimize the equivalent model parameters. Thus, a trajectory sensitivity￣based optimization method was proposed for dynamic equivalent model parameters. Firstly, the definition and calculation of trajectory sensitivity were introduced. Then, the structure of the dynamic equivalent system with consideration of synthesis loads was discussed. The dominant parameters were classed into static or dynamic dominant parameters and optimized separately according to different characteristics of the trajectory sensitivities. Finally, the algorithm was applied in the optimization of the equivalent model of the IEEE 10￣machine 39￣bus system. The fictitious impedances, inertia time constant, stator impedance and rotor resistance of the equivalent motor were optimized. The simulation results show that the proposed method can improve the precision of the equivalent model effectively. It has a fast convergence speed and needs very little computation tasks, and so has a good application prospect.%电力系统动态等值模型必然存在一定误差，边界联络线功率对等值模型参数的轨迹灵敏度揭示了等值模型误差与模型参数之间的量化联系，可据此优化等值模型参数。为此，提出了基于轨迹灵敏度的动态等值模型参数分类优化方法。首先，介绍了轨迹灵敏度及其计算方法；然后，讨论了考虑综合负荷的电力系统动态等值模型的一般结构，根据不同参数轨迹灵敏度的特点，将模型主导参数划分为静态、动态主导参数进行分类优化；最后，将算法应用于IEEE10机39母线算例系统，对等值模型中的虚拟阻抗、惯性时间常数、定子电抗及转子电阻等参数进行了优化。仿真结果表明，该方法能有效提高等值模型精度，且所需计算量小，优化速度快，具有良好的应用前景。
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