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Impact of PMUs on state estimation accuracy in active distribution grids with large PV penetration

机译:PV对大型光伏渗透的主动分配网格状态估计精度的影响

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摘要

The growing penetration of photovoltaic (PV) systems as well as the increasing presence of time-varying loads exacerbate the variability of electrical quantities in distribution networks, thus posing new challenges for grid monitoring and management. Among the various problems that may originate from the intermittent, periodic and generally random nature of PV generation and dynamic load conditions, the uncertainty affecting Distribution System State Estimation (DSSE) techniques might be particularly critical as it could lead to false or missed alarms (e.g. in fault detection) or to improper control actions. In this paper, the accuracy of the well-known Weighted Least Squared (WLS) state estimator is analyzed under the effect of different levels of PV penetration and loading. The reported simulation results can be useful to provide some general guidelines on how to improve state estimation accuracy in active distribution networks.
机译:光伏(PV)系统的不断增长的渗透以及增加的时变负荷的存在加剧了分配网络中电量的可变性,从而对电网监控和管理构成了新的挑战。在可能来自PV生成和动态负载条件的间歇,周期性和大致随机性的各种问题中,影响分布系统状态估计(DSSE)技术的不确定性可能是特别关键的,因为它可能导致错误或错过的警报(例如在故障检测中)或控制操作不当。在本文中,在不同水平的PV渗透和装载的效果下分析了众所周知的加权最小二乘(WLS)状态估计器的精度。报告的仿真结果可用于提供有关如何提高主动配送网络中的状态估计准确性的一般指导。

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