140 citations · 163 across the 6 of their papers we have counts for
4 papers · 1 filter
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems
Jingtao Qin, Yuanqi Gao, Mikhail Bragin +1
Unit commitment (UC) is a fundamental problem in the day-ahead electricity market, and it is critical to solve UC problems efficiently. Mathematical optimization techniques like dy…
A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment
Yuanqi Gao, Nanpeng Yu
To facilitate the development of reinforcement learning (RL) based power distribution system Volt-VAR control (VVC), this paper introduces a suite of open-source datasets for RL-ba…
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks
Yuanqi Gao, Wei Wang, Nanpeng Yu
Volt-VAR control (VVC) is a critical application in active distribution network management system to reduce network losses and improve voltage profile. To remove dependency on inac…
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration
Yuanqi Gao, Wei Wang, Jie Shi +1
Dynamic distribution network reconfiguration (DNR) algorithms perform hourly status changes of remotely controllable switches to improve distribution system performance. The proble…