Selection of measurements for state estimation in electrical power distribution grids Article Swipe

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Selection (genetic algorithm) Estimation Computer science State (computer science) Distribution (mathematics) Power (physics) Engineering Algorithm Mathematics Artificial intelligence Physics Systems engineering Mathematical analysis Quantum mechanics

Jakob Gulddahl Rasmussen , Rasmus Løvenstein Olsen , Sina Hassani , Troels Pedersen , Hans-Peter Schwefel ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1109/smartgridcomm60555.2024.10738120 · OA: W4404037109

The electrical state of the power distribution grid can be estimated based on noisy measurements of a subset of voltages and currents in the grid. The accuracy and cost of such state estimation depends strongly on the selection of measurands. This paper addresses the selection of measurands, i.e. choice of which voltage and current phasors to measure, for the purpose of grid state estimation. The investigation is based on calculation of so-called leverages known from mathematical statistics. Based on the leverages a greedy measurand selection algorithm is prosed. The performance of the algorithm is studied by simulation in a small and a larger example grid.