no code implementations • 26 Nov 2023 • Valliappan Muthukaruppan, Rongxing Hu, Ashwin Shirsat, Mesut Baran, Ning Lu, Wenyuan Tang, David Lubkeman
This papers highlights the benefit of coordinating resources on mulitple active distribution feeders during severe long duration outages through multi-microgrid formation.
no code implementations • 19 Nov 2023 • Qi Xiao, Jongha Woo, Lidong Song, Bei Xu, David Lubkeman, Ning Lu, Abdul Shafae Mohammed, Johan Enslin, Cara De Coste Chacko, Kat Sico, Steven G. Whisenant
The widespread deployment of inverter-based resources (IBRs) renders distribution systems susceptible to transmission-level faults.
no code implementations • 3 Sep 2023 • Bei Xu, Victor Paduani, Qi Xiao, Lidong Song, David Lubkeman, Ning Lu
Furthermore, in comparison to sectionalizer-based UFLS, using smart meters or controllable loads for UFLS allows for a more accurate per-phase load shedding in a progressive manner.
no code implementations • 7 Dec 2022 • Victor Paduani, Qi Xiao, Bei Xu, David Lubkeman, Ning Lu
The controller's objective is to control the PV and BESS to follow power setpoints sent to the the hybrid system while maintaining desired power reserves and meeting system operational constraints.
no code implementations • 23 Aug 2022 • Valliappan Muthukaruppan, Ashwin Shirsat, Rongxing Hu, Victor Paduani, Bei Xu, Yiyan Li, Mesut Baran, Ning Lu, David Lubkeman, Wenyuan Tang
The management of such feeder-level microgrid has however many challenges, such as limited resources that can be deployed on the feeder quickly, and the limited real-time monitoring and control on the distribution system.
no code implementations • 10 Feb 2022 • Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu, Victor Paduani, Bei Xu, Lidong Song, Yiyan Li, Ning Lu, Mesut Baran, David Lubkeman, Wenyuan Tang
Distribution system integrated community microgrids (CMGs) can partake in restoring loads during extended duration outages.
no code implementations • 23 Nov 2021 • Si Zhang, Mingzhi Zhang, Rongxing Hu, David Lubkeman, Yunan Liu, Ning Lu
In Stage 1(individual training), while holding all the other agents inactive, we separately train each agent to obtain its own optimal VVC actions in the action space: {consume, generate, do-nothing}.
no code implementations • 19 Nov 2021 • Victor Paduani, Bei Xu, David Lubkeman, Ning Lu
This paper presents the development and benchmarking of a novel real-time electromagnetic-transient and transient-stability (EMT-TS) modeling architecture for distribution feeder restoration studies.
no code implementations • 18 Nov 2021 • Bei Xu, Victor Paduani, Hui Yu, David Lubkeman, Ning Lu
Compared with the conventional rotating reference frame ($dq$) based control scheme, the proposed scheme shows better dynamic performance.
no code implementations • 19 Nov 2020 • Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu, Ning Lu, Mesut Baran, David Lubkeman, Wenyuan Tang
The intermediate near real-time scheduling stage updates the DA schedule closer to the dispatch time, followed by the RT dispatch stage.
no code implementations • 3 Apr 2020 • Ming Liang, Yao Meng, Jiyu Wang, David Lubkeman, Ning Lu
This paper presents a novel, automated, generative adversarial networks (GAN) based synthetic feeder generation mechanism, abbreviated as FeederGAN.