Fast decoupled multi area state estimation with PMUs measurements

X. Yang, X. Zhang
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引用次数: 8

Abstract

This paper presents a novel coordinated algorithm, Fast Distributed State Estimation with Linear Coordination (FDSELC), considering Phasor Measurement Units (PMUs) measurements at both subsystem and coordination levels. At the subsystem level, the estimators apply augmented Fast Decoupled State Estimation algorithm to reduce the computational time at the first step. At the coordination level, linear estimators based on PMUs measurements are able to coordinate the voltage states of boundary buses, which lead to the further improvement of computational performance. Tests on the IEEE 118-bus system demonstrate the performance of the novel FDSELC algorithms. The results are compared with centralized and other distributed state estimation algorithms in terms of both the estimation quality and computational cost. In addition, the proposed FDSELC algorithm with the distributed control architecture is suitable for future smart grids. In this situation, a large power grid can be decomposed into subsystems, and those subsystems can be estimated, monitored and controlled separately.
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基于pmu测量的快速解耦多区域状态估计
本文提出了一种新的协调算法——基于线性协调的快速分布状态估计(FDSELC),该算法同时考虑了相量测量单元(pmu)在子系统和协调级的测量。在子系统层面,估计器采用增强快速解耦状态估计算法来减少第一步的计算时间。在协调层面,基于pmu测量的线性估计器能够协调边界母线的电压状态,从而进一步提高计算性能。在IEEE 118总线系统上的测试验证了该算法的性能。从估计质量和计算成本两方面对结果与集中式和其他分布式状态估计算法进行了比较。此外,本文提出的FDSELC算法具有分布式控制架构,适用于未来的智能电网。在这种情况下,一个大的电网可以分解成多个子系统,这些子系统可以分别进行估计、监测和控制。
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