论文标题
间隔状态估计，在不平衡的分布系统中分布式生成和线参数的不确定性
Interval State Estimation with Uncertainty of Distributed Generation and Line Parameters in Unbalanced Distribution Systems
论文作者
论文摘要
分配系统状态估计（DSSE）为系统监视和控制提供关键信息，正受到多种不确定性来源的挑战，例如随机仪表错误，分布式生成的随机功率输出（DG）和不精确的网络参数。本文最初提出了一个通用间隔状态估计（ISE）模型，以通过间隔算术同时在不平衡的分布系统中同时提出这些不确定性。此外，该模型可以适应DG输出和不准确线参数的部分可用测量值。此外，提出了一种修改的Krawczyk-operator（MKO）算法，以有效地解决一般ISE模型，并有效地提供了在这些不确定性的协调影响下状态变量的上限和下限。提出的算法在不平衡的IEEE 13总线和123个总线系统上进行了测试。与包括蒙特卡洛模拟在内的各种方法的比较表明，所提出的算法更快地数量级，并封闭了状态变量的更紧密的边界。
Distribution system state estimation (DSSE), which provides critical information for system monitoring and control, is being challenged by multiple sources of uncertainties such as random meter errors, stochastic power output of distributed generation (DG), and imprecise network parameters. This paper originally proposes a general interval state estimation (ISE) model to simultaneously formulate these uncertainties in unbalanced distribution systems by interval arithmetic. Moreover, this model can accommodate partially available measurements of DG outputs and inaccurate line parameters. Further, a modified Krawczyk-operator (MKO) algorithm is proposed to solve the general ISE model efficiently, and effectively provides the upper and lower bounds of state variables under coordinated impacts of these uncertainties. The proposed algorithm is tested on unbalanced IEEE 13-bus and 123-bus systems. Comparison with various methods including Monte Carlo simulation indicates that the proposed algorithm is many orders of magnitude faster and encloses tighter boundaries of state variables.
