【摘要】 提出了一种新的状态估计算法,既保留了量测方程非线性又利用了快速P-Q分解方法,因此数学模型精度高且保留了快速P-Q分解的优点,提高了状态估计的计算精度和速度。采用系统分割方法将大系统分割为多个小系统,分别对每个小系统进行状态估计,然后对各小系统的状态估计结果进行协调,得到整个系统具有同一参考节点的状态估计结果,这样可大大提高状态估计的计算速度,有利于进行大电网的状态估计。在18节点系统上进行的数字仿真实验验证了该方法的有效性。更多还原

【Abstract】 A new state estimation algorithm is proposed, in which the nonlinearity of measuring equation is retained and meanwhile the fast decoupled P-Q algorithm are used. Its mathematical model possesses high accuracy and the advantages of fast decoupled P-Q algorithm are retained, so the accuracy of state estimation and the calculation speed are improved. In the proposed algorithm a large system is divided into several small systems and the state estimation of each small system is individually carried out, then the state estimation results of these small systems are coordinated and the state estimation result of the system with the same reference node is obtained. This way, the calculation speed of state estimation can be evidently speeded up, and it is favorable to state estimation of large scale power grid. The effectiveness of the proposed method is verified by the simulation results of 18-node system.更多还原