no code implementations • 12 Dec 2023 • Francisco Zelaya-Arrazabal, Hector Pulgar-Painemal, Jingzi Liu, Horacio Silva-Saravia, Fangxing Li
This paper explores the novel concept of damping controller coordination, which aims to minimize the Total Action metric by identifying an optimal switching combination (on/off) of these controllers.
no code implementations • 13 Nov 2023 • Hang Shuai, Fangxing Li, Jinxiang Zhu, William Jerome Tingen II, Srijib Mukherjee
This paper proposes a systematic, analytical approach for assessing the impacts of extreme summer drought events on the available capacity of hydro, thermal, and renewable energy generators.
2 code implementations • 22 Nov 2022 • Nicholas Parsly, Jinning Wang, Nick West, Qiwei Zhang, Hantao Cui, Fangxing Li
This paper introduces the messaging environment and the geographical visualization tool of the CURENT Large-scale Testbed (LTB) that can be used for large-scale power system closed-loop simulation.
no code implementations • 14 Sep 2022 • Buxin She, Fangxing Li, Hantao Cui, Jinnng Wang, Qiwei Zhang, Rui Bo
Then, VIS-based real-time economic dispatch (VIS-RTED) is formulated to minimize generation and reserve costs, with a full consideration of dynamic frequency constraints and derived inertia support reserve constraints.
no code implementations • 22 Jun 2022 • Buxin She, Fangxing Li, Hantao Cui, Jinning Wang, Liang Min, Oroghene Oboreh Snapps, Rui Bo
Then, a decentralized and coordinated control framework is proposed to regulate the output of inverter based generations and reallocate limited DER capacity for Vf control.
no code implementations • 22 Jun 2022 • Buxin She, Fangxing Li, Hantao Cui, Jingqiu Zhang, Rui Bo
Challenges and opportunities coexist in microgrids as a result of emerging large-scale distributed energy resources (DERs) and advanced control techniques.
no code implementations • 27 May 2022 • Xiaofei Wang, Fangxing Li, Linquan Bai, Xin Fang
The DLMP provides a solution that can be essential for competitive market operation in future distribution systems.
no code implementations • 6 Mar 2022 • Jin Zhao, Member, Fangxing Li, Fellow, Srijib Mukherjee, Senior Member, Christopher Sticht
The proposed deep RL method provides real-time computing to support on-line dynamic MMGF scheme, and the scheme handles a long-term resilience enhancement problem using adaptive on-line MMGF to defend changeable conditions.
no code implementations • 16 Sep 2021 • Jin Zhao, Fangxing Li, Xi Chen, Qiuwei Wu
This paper proposes a new deep learning (DL) based model-free robust method for bulk system on-line load restoration with high penetration of wind power.
no code implementations • 18 Feb 2021 • Yichen Zhang, Hantao Cui, Jianzhe Liu, Feng Qiu, Tianqi Hong, Rui Yao, Fangxing Li
Frequency-constrained unit commitment (FCUC) is proposed to address this challenge.
no code implementations • 29 Nov 2020 • Yichen Zhang, Feng Qiu, Tianqi Hong, Zhaoyu Wang, Fangxing Li
Self-healing capability is one of the most critical factors for a resilient distribution system, which requires intelligent agents to automatically perform restorative actions online, including network reconfiguration and reactive power dispatch.
no code implementations • 24 Nov 2020 • Hantao Cui, Fangxing Li, Xin Fang
This letter investigates parallelism approaches for equation and Jacobian evaluations in large-scale power flow calculation.
2 code implementations • 21 Feb 2020 • Hantao Cui, Fangxing Li, Kevin Tomsovic
This paper proposes a two-layer hybrid library consisted of a symbolic layer for descriptive modeling and a numeric layer for vector-based numerical computation.