不平衡径向LV馈线网络变量分散估计的拟合多项式的应用
Use of fitted polynomials for the decentralized estimation of network variables in unbalanced radial LV feeders
摘要：
在低压（LV）住宅馈线的综合监测设备的缺乏，阻碍了短期部署的集中计划，为国内规模的分布式发电（DG）的整合。在这种情况下，本文介绍了一种技术，生成一组拟合多项式，来自离线模拟和回归分析，这将代表性的网络变量（即网络操作的关键）的大小作为一个直接的分析表达式的任何DG单元（即有功和无功功率注入）的可控本地条件。至关重要的是，这些多项式的系数可以在每个DG单元的位置处自主地估计，而不需要远程监控（即，仅使用本地可用的测量）。在在线实施过程中，该方法仅由直接计算（即非迭代）组成，便于实时操作。多项式的准确性，以估计网络变量的大小进行评估，在多个场景下的一个代表性的径向低压馈线。此外，在新一代汽车和电动汽车的存在下，该方法的鲁棒性得到了证明。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
