no code implementations • 7 Jul 2022 • Qianzhi Zhang, Fankun Bu, Yi Guo, Zhaoyu Wang
To better consider the impacts of load and PV generation uncertainties on CVR implementation in distribution systems and provide less conservative solutions, this paper develops a data-based DRCC-CVR model with tractable reformulation and data enrichment method.
no code implementations • 27 Oct 2021 • Rui Cheng, Zhaoyu Wang, Yifei Guo, Fankun Bu
The results show that the allocations of solar PV have the most significant effect on the CVR performance, where a dispersed allocation of solar PV will help flatten voltage profile and achieve deeper voltage reductions at the substation, less energy consumption and line losses.
no code implementations • 14 Oct 2021 • Fankun Bu, Rui Cheng, Zhaoyu Wang
In this paper, we have come up with a novel two-layer approach to disaggregate the unknown PV generation and native demand from the known hourly net demand data recorded by smart meters: 1) At the aggregate level, the proposed approach separates the total PV generation and native demand time series from the total net demand time series for customers with PVs.
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 • 9 Nov 2020 • Qianzhi Zhang, Yifei Guo, Zhaoyu Wang, Fankun Bu
This paper proposes an asychronous distributed leader-follower control method to achieve conservation voltage reduction (CVR) in three-phase unbalanced distribution systems by optimally scheduling smart inverters of distributed energy resources (DERs).
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.