Jiaqi Chen, Line A. Roald
The rapid expansion of distributed energy resources is heightening uncertainty and variability in distribution system operations, potentially leading to power quality challenges such as voltage magnitude violations and excessive voltage unbalance. To ensure dependable operation of distribution grids, a real-time assessment method utilizing data from prevalent smart meters is proposed. An iterative algorithm is designed to adaptively select a subset of smart meters for voltage magnitude measurements, thereby certifying that all voltage magnitudes remain within specified bounds. The algorithm alternates between solving optimization problems to identify the worst-case voltage scenarios with the limited measurements and employing sensitivity information to refine the measurement set. Numerical tests performed on the IEEE 123 distribution feeder validate that the proposed algorithm can effectively and consistently identify nodes with extreme voltage magnitudes under varying load conditions. This approach significantly enhances situational awareness for distribution system operators, thereby improving the reliability and efficiency of grid operations.
@article{bbc4f96a-7618-4abf-8a52-22dd9a19caba,
title={2024 Chen Distribution Grid Security Assessment},
author={Jiaqi Chen and Line A. Roald},
year={2026},
language={en}
}TY - JOUR TI - 2024 Chen Distribution Grid Security Assessment AU - Jiaqi Chen AU - Line A. Roald PY - 2026 LA - en ER -
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