no code implementations • 11 May 2021 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang
Smart meters (SMs) are being widely deployed by distribution utilities across the U. S.
no code implementations • 4 Dec 2020 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang, Fankun Bu
To maintain monitoring accuracy, the two levels exchange boundary information with each other at the secondary nodes, including transformer voltages (first layer to second layer) and active/reactive total power injection (second layer to first layer).
Computational Efficiency Hierarchical Reinforcement Learning
no code implementations • 4 Dec 2020 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang, Fankun Bu
A novel aspect of the proposed approach is that it takes multi-source evidence and the complex structure of distribution systems into account using a probabilistic graphical method.
no code implementations • 29 Nov 2020 • Fankun Bu, Kaveh Dehghanpour, Zhaoyu Wang
The key to our approach is to statistically recover the high-resolution load data, which is masked by the low-resolution data, using trained probabilistic models of service transformers that have both high and low-resolution data sources, i. e, micro-PMUs and smart meters.
no code implementations • 1 Sep 2020 • Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang, Yifei Guo
In most cases, PVs are installed behind-the-meter (BTM), and only the net demand is recorded.
no code implementations • 17 Jun 2020 • Yuxuan Yuan, Yifei Guo, Kaveh Dehghanpour, Zhaoyu Wang, Yanchao Wang
A large-scale deployment of phasor measurement units (PMUs) that reveal the inherent physical laws of power systems from a data perspective enables an enhanced awareness of power system operation.