Search Results for author: Guanglun Zhang

Found 4 papers, 1 papers with code

Review of Learning-Assisted Power System Optimization

1 code implementation1 Jul 2020 Guangchun Ruan, Haiwang Zhong, Guanglun Zhang, Yiliu He, Xuan Wang, Tianjiao Pu

With dramatic breakthroughs in recent years, machine learning is showing great potential to upgrade the toolbox for power system optimization.

Systems and Control Systems and Control Optimization and Control

Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning

no code implementations21 Sep 2022 Zekuan Yu, Guangchun Ruan, Xinyue Wang, Guanglun Zhang, Yiliu He, Haiwang Zhong

In this paper, we propose an evaluation approach to analyze the performance of RL agents in a look-ahead economic dispatch scheme.

reinforcement-learning Reinforcement Learning (RL)

Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach

no code implementations4 Mar 2023 Xinyue Wang, Haiwang Zhong, Guanglun Zhang, Guangchun Ruan, Yiliu He, Zekuan Yu

With the increasing proportion of renewable energy in the generation side, it becomes more difficult to accurately predict the power generation and adapt to the large deviations between the optimal dispatch scheme and the day-ahead scheduling in the process of real-time dispatch.

Decision Making reinforcement-learning +2

Real-time scheduling of renewable power systems through planning-based reinforcement learning

no code implementations9 Mar 2023 Shaohuai Liu, Jinbo Liu, Weirui Ye, Nan Yang, Guanglun Zhang, Haiwang Zhong, Chongqing Kang, Qirong Jiang, Xuri Song, Fangchun Di, Yang Gao

The well-trained scheduling agent significantly reduces renewable curtailment and load shedding, which are issues arising from traditional scheduling's reliance on inaccurate day-ahead forecasts.

reinforcement-learning Reinforcement Learning (RL) +1

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