论文标题
基于回归的电压估计方法，用于分配伏特对照有限的数据
A Regression-based Voltage Estimation Method for Distribution Volt-Var Control with Limited Data
论文作者
论文摘要
本文提出了一种基于回归的方法，用于估计电压和电压敏感性，以控制分配电路的电压var，数据有限。估算器将功率流结果用于代表负载和PV输出方案作为训练数据。使用电源流量结果的线性回归，基于进料器头和每个PV工厂的功率测量值在线计算关键节点的电压。还使用有关电源流量结果的回归在线发现了每种光伏植物反应性功率注入反应性功率变化的电压敏感性。因此，估计器为每个可能的控制作用提供了估计的临界电压及其敏感性。估计器与对实际，不平衡的乡村分配馈线的伏特优化结合进行了测试。将使用估算器的最佳控制动作和电压结果与最佳结果进行了比较，假设分配系统的可见性。结果表明，估计器可以以足够的精度估算电压和敏感性，以成功进行集中式伏特控制。
This paper presents a regression-based method for estimating voltages and voltage sensitivities for volt-var control on distribution circuits with limited data. The estimator uses power flow results for representative load and PV output scenarios as training data. Using linear regressions on power flow results, the voltages at critical nodes are calculated online based on power measurements at the feeder head and at each PV plant. The voltage sensitivity to changes in reactive power injection by each PV plant is also found online using regressions on power flow results. The estimator thus provides the estimated critical voltages and their sensitivities to each possible control action. The estimator is tested in conjunction with a volt-var optimization on real, unbalanced rural distribution feeder. The optimal control actions and voltage results using the estimator are compared to the optimal results assuming full visibility of the distribution system. Results show that the estimator can estimate voltages and sensitivities with adequate accuracy for successful centralized volt-var control.
