A $\mu PMU$ Full Observation Algorithm for Balanced Radial Distribution Grid with PV Integration

Wael Ahmed, M. Nayel, M. T. El-Mohandes
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Abstract

Due to the growth of distributed energy resources (DER) and new customer devices, there is currently a two-way energy flow in electric distribution grids. As a result, there is increasing tendency in full observation tools for grid protection and management. Micro Phasor Measurement Unit $(\mu \text{PMU})$ measures highly precise time-synchronized current and voltage samples, calculates their respective phasors and online transmits the determined phasors to a phasor data concentrator (PDC). In this paper, two algorithms are proposed. The first algorithm is a full observation algorithm for underground balanced radial distribution grid with minimum numbers of $\mu\text{PMUs}$. This algorithm aids in the development of a monitoring system of the underground balance radial distribution grid for medium voltage (MV) and low voltage (LV) sides. The second algorithm is a backward/forward sweep balanced power flow (BPF) algorithm for underground radial distribution grid with photovoltaic (PV) integration in LV side. The outputs of backward/forward sweep BPF program are compared with ETAP outputs to test algorithm accuracy. To ensure the accuracy of the $\mu \text{PMU}^{\prime}\mathrm{s}$ full observation algorithm, a testing process is used. The output phasors measured by $\mu \text{PMU}$ are implemented from backward/forward sweep BPF outputs at the buses where $\mu \text{PMUs}$ are installed. The $\mu\text{PMU}$ full observation algorithm outputs at the other buses are compared with those obtained from backward/forward sweep BPF. The testing process proves high accuracy of the $\mu \text{PMUs}$ full observation algorithm for various distribution grid operation scenarios.
基于PV积分的均衡径向配电网全观测算法
由于分布式能源(DER)和新客户设备的增长,目前配电网中存在双向能量流。因此,用于电网保护和管理的全观测工具有增加的趋势。微相量测量单元$(\mu \text{PMU})$测量高精度的时间同步电流和电压样本,计算它们各自的相量,并将确定的相量在线传输到相量数据集中器(PDC)。本文提出了两种算法。第一种算法是最小$\mu\text{PMUs}$数目的地下均衡径向配电网全观测算法。该算法有助于地下平衡径向配电网中压、低压侧监测系统的开发。第二种算法是低压侧光伏集成的地下径向配电网的前向/前向扫描均衡潮流算法。将前向/后向扫描BPF程序的输出与ETAP输出进行比较,以检验算法的精度。为了保证$\mu \text{PMU}^{\prime}\ maththrm {s}$全观测算法的准确性,使用了一个测试过程。由$\mu \text{PMU}$测量的输出相量是从安装$\mu \text{PMU}$的总线上的向后/正向扫描BPF输出实现的。将$\mu\text{PMU}$全观测算法在其他总线上的输出与反向/正向扫描BPF的输出进行比较。测试过程证明了$\mu \text{PMUs}$全观测算法对各种配电网运行场景具有较高的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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