A Physics-Aware MIQP Approach to Harmonic State Estimation in Low-Observable Power Distribution Systems Using Harmonic Phasor Measurement Units
A Physics-Aware MIQP Approach to Harmonic State Estimation in Low-Observable Power Distribution Systems Using Harmonic Phasor Measurement Units
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DOI：
10.1109/tsg.2022.3207196
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发表时间：
2023-05
影响因子：
9.6
通讯作者：
Fatemeh Ahmadi-Gorjayi;Hamed Mohsenian-Rad
中科院分区：
文献类型：
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作者：
Fatemeh Ahmadi-Gorjayi;Hamed Mohsenian-Rad
针对低可观测性配电系统，提出了一种新的物理感知谐波状态估计方法。唯一可用的测量是来自配电馈线上的少量谐波相量测量单元（H-PMU）的谐波同步相量。所提出的HSE方法提供了一种新颖的和实际的应用H-PMU，这是一类新兴的智能电网传感器，以解决一个重要的和具有挑战性的问题，在配电系统监测。更重要的是，所提出的HSE方法可以解决具有高度挑战性的情况下，其中，不仅网络具有低的可观测性条件，而且谐波源的数量和位置是未知的。所提出的HSE方法捕获基于物理的稀疏模式在谐波相量的分析，然后它将这种稀疏模式在一个新的混合整数二次规划（MIQP）优化，可以解决标准求解器的制定。本文提出的解决低可观测性的方法是创新的，它是特定于HSE的。它在文献中没有任何类似的对应物，无论是对于谐波状态估计还是普通的（即，非谐波）配电系统状态估计。在多个案例研究中验证了该方法的有效性，并与现有方法进行了比较。
In this paper, a novel physics-aware harmonic state estimation (HSE) method is developed for power distribution systems with low-observability. The only available measurements are the harmonic synchrophasors from a small number of Harmonic Phasor Measurement Units (H-PMUs) on a power distribution feeder. The proposed HSE method provides a novel and practical application of H-PMUs, which are an emerging class of smart grid sensors, in order to address an important and challenging problem in power distribution system monitoring. More importantly, the proposed HSE method can address the highly challenging scenario, in which, not only the network has a low-observability condition, but also the number and the location(s) of the harmonic sources are unknown. The proposed HSE method captures physics-based sparsity pattern in the analysis of harmonic phasors, and then it incorporates such sparsity pattern in the formulation of a novel mixed-integer quadratic programming (MIQP) optimization which can be solved by standard solvers. The method that is proposed in this paper to address low-observability is innovative and it is specific to HSE. It does not have any similar counterpart in the literature, whether for harmonic state estimation or in ordinary (i.e., not harmonic) distribution system state estimation. The effectiveness of the proposed method is tested and confirmed in multiple case studies and compared with the existing methods.