Abstract The electric power distribution systems become increasingly complex due to the high penetration of renewable energy sources, which gradually lead to more challenges or even risks to the grid operation. The need to enhance monitoring and control of the power distribution systems is in great demand. Phasor measurement units (PMUs) have been widely deployed in transmission networks to provide better situational awareness of the system. The same philosophy can be applied to power distribution systems by using the distribution level PMUs (D-PMUs). This paper proposes a novel complex linear state estimator considering parameter noise (CLSE-PN) using D-PMU data for power distribution systems. An implementation of the system architecture is also proposed to accommodate the CLSE-PN algorithm. Case studies demonstrate the effectiveness of the algorithm and prove that CLSE-PN provides more accurate results than the CLSE which does not consider parameter noise.

中文翻译：

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一种用于智能配电系统的新型复线性状态估计器：方法和实现

摘要 由于可再生能源的高渗透率，配电系统变得越来越复杂，逐渐给电网运行带来更多挑战甚至风险。迫切需要加强对配电系统的监测和控制。相量测量单元 (PMU) 已广泛部署在传输网络中，以提供更好的系统态势感知。通过使用配电级 PMU (D-PMU)，同样的原理可以应用于配电系统。本文提出了一种新的考虑参数噪声的复线性状态估计器 (CLSE-PN)，使用配电系统的 D-PMU 数据。还提出了系统架构的实现以适应 CLSE-PN 算法。