论文标题
通过分配系统中的非线性测量进行高效的状态估计
Towards Highly Efficient State Estimation with Nonlinear Measurements in Distribution Systems
论文作者
论文摘要
这封信提出了一种新颖且高效的分配系统状态估计（DSSE）算法，并通过监督控制和数据采集（SCADA）系统进行非线性测量。常规的DSSE，即基于加权的最小平方（WLS）方法，需要多个蒙特卡洛模拟以进行整体准确度评估，并且由于非线性迭代过程而产生的计算成本很高。所提出的方法使用泰勒系列电压系列以间隔形式构造线性DSSE模型，然后通过间隔算术求解该模型。与基于非线性WLS的方法相比，提出的方法通过测量的单个随机采样获得了准确，可靠的估计，并且在计算上是有效的。 IEEE 34-BUS分布系统的比较分析指向相对于基于WLS的方法的改进估计结果。
This letter proposes a novel and highly efficient distribution system state estimation (DSSE) algorithm with nonlinear measurements from supervisory control and data acquisition (SCADA) systems. Conventional DSSE, i.e., a weighted least square (WLS)-based method, requires multiple Monte Carlo simulations for overall accuracy evaluation and has high calculation cost due to the nonlinear iterative process. The proposed method uses the Taylor series of voltages for constructing a linear DSSE model in the interval form and then solve this model by interval arithmetic. Compared with the nonlinear WLS-based method, the proposed method obtains accurate and robust estimates via a single random sampling of measurements and is computationally efficient. The comparative analysis of the IEEE 34-bus distribution system points to improved estimation results relative to the WLS-based method.
