Phasor assisted state estimation

Bhonsle, J. S.; Junghare, Anjali S.

doi:10.1109/ic4.2015.7375587

Cited by 1 publication

(1 citation statement)

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“…However, traditional approaches do not properly accommodate the different acquisition rates of analogic and digital devices. One very important source are the phase measurement units (PMUs) that have been tentatively included within the traditional state estimation algorithm [4], ignoring analogicbased measure-ments [5], or in a linear post processing step [6], although with unavoidable information losses. The new dynamics found at the distribution grid level weaken the typical quasi-static scenarios and some works explore the time-varying nature of the varia-bles with Kalman filter-based estimators [5], [7], [8], although with limitations due to the process noise covariance matrix.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Low-Voltage State Estimation Using Analog-Search Techniques

Bessa

Sampaio

Miranda

et al. 2018

2018 Power Systems Computation Conference (PSCC)

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Abstract-Power systems are becoming more complex and the need for increased awareness at the lower voltage levels of the distribution grid requires new tools that provide a reliable and accurate estimation of the system state. This paper describes an innovative state estimation method for low voltage (LV) grids that analyses similarities between a real-time snapshot comprising only a subset of smart meters with real-time communications and fully observed system states present in historical data. Real-time estimates of voltage magnitudes are obtained by smoothing the most similar past snapshots with a data-driven methodology that does not relies on full knowledge of the grid topology and electrical characteristics. Moreover, the output of the LV state estimator is a conditional probability distribution obtained with kernel density estimation. The results show highly accurate estimation of voltage magnitude, even in a scenario characterized by a strong integration of photovoltaic (PV) microgeneration.

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