no code implementations • 9 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.
no code implementations • 4 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.
no code implementations • 21 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.
1 code implementation • 1 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