论文标题
组合不平衡的分配系统状态和线阻抗矩阵估计
Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation
论文作者
论文摘要
为了解决能源部门脱碳的挑战，正在制定高级分销网络管理和操作策略。这些策略中的许多都需要准确的网络模型才能有效工作。但是，已知分布网络数据包含错误，并且已经对允许得出改进网络信息的技术进行了关注。本文提出了一种新的方法，可以从智能电表测量时间序列中得出线阻抗值，并在仪表的准确性，分辨率和穿透方面具有现实的假设。该方法基于状态估计不平衡，被铸造为非凸二次约束优化问题。线长度和阻抗矩阵模型都可以根据稳态三相网络物理的精确非线性公式进行估算。该方法在IEEE欧洲低压馈线（906辆公共汽车）上进行评估，并显示出令人鼓舞的结果。
To address the challenges that the decarbonization of the energy sector is bringing about, advanced distribution network management and operation strategies are being developed. Many of these strategies require accurate network models to work effectively. However, distribution network data are known to contain errors, and attention has been given to techniques that allow to derive improved network information. This paper presents a novel method to derive line impedance values from smart meter measurement time series, with realistic assumptions in terms of meter accuracy, resolution and penetration. The method is based on unbalanced state estimation and is cast as a non-convex quadratically constrained optimization problem. Both line lengths and impedance matrix models can be estimated based on an exact nonlinear formulation of the steady-state three-phase network physics. The method is evaluated on the IEEE European Low Voltage feeder (906 buses) and shows promising results.
