论文标题
使用拟合的多项式用于对不平衡径向LV馈线网络变量的分散估计
Use of fitted polynomials for the decentralized estimation of network variables in unbalanced radial LV feeders
论文作者
论文摘要
低压（LV）住宅馈线缺乏全面的监测设备，阻碍了集中式方案的近期部署，以集成国内规模的分布生成（DG）。在这种情况下，本文介绍了一组拟合的多项式的技术，这些技术源自离线模拟和回归分析，该技术将代表性网络变量（即网络操作的键）的大小作为直接分析的任何DG单元（即现场电力注射）的直接分析表达。至关重要的是，可以在每个DG单元的位置自主估算这些多项式的系数，而无需远程监视（即仅使用本地可用的测量值）。在在线实施过程中，该方法仅包括直接计算（即非著作），从而促进实时操作。多项式估计网络变量幅度的准确性在代表性径向LV馈线的多种情况下进行了评估。此外，该方法的鲁棒性在新一代和电动汽车的存在下得到了证明。
The lack of comprehensive monitoring equipment in low voltage (LV) residential feeders, impedes a near-term deployment of centralized schemes for the integration of domestic-scale distributed generation (DG). In this context, this paper introduces a technique that generates a set of fitted polynomials, derived from offline simulations and regression analysis, that characterise the magnitude of representative network variables (i.e. key for network operation) as a direct analytical expression of the controllable local conditions of any DG unit (i.e. active and reactive power injections). Crucially, the coefficients of these polynomials can be estimated, autonomously at the location of each DG unit, without the need for remote monitoring (i.e. using only locally available measurements). During online implementation, the method consists only of direct calculations (i.e. non-iterative), facilitating real-time operation. The accuracy of the polynomials to estimate the magnitude of the network variables is assessed under multiple scenarios on a representative radial LV feeder. Furthermore, the robustness of the method is demonstrated under the presence of new generation and electric vehicles.
