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

3 citations · 5 across the 5 of their papers we have counts for

collaborators

7 papers

cs.RO20241 cited

Misaka: Interactive Swarm Testbed for Smart Grid Distributed Algorithm Test and Evaluation

Tingliang Zhang, Haiwang Zhong, Zhenfei Tan +1

In this paper, we present Misaka, a visualized swarm testbed for smart grid algorithm evaluation, also an extendable open-source open-hardware platform for developing tabletop tang…

eess.SY2023

A Projection-Based Approach for Distributed Energy Resources Aggregation

Yiran Wang, Haiwang Zhong, Guangchun Ruan

Aggregating distributed energy resources (DERs) is of great significance to improve the overall operational efficiency of smart grid. The aggregation model needs to consider variou…

eess.SY20232 cited

Life cycle economic viability analysis of battery storage in electricity market

Yinguo Yang, Yiling Ye, Zhuoxiao Cheng +4

Battery storage is essential to enhance the flexibility and reliability of electric power systems by providing auxiliary services and load shifting. Storage owners typically gains…

cs.AI20233 cited

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

Shaohuai Liu, Jinbo Liu, Weirui Ye +8

The growing renewable energy sources have posed significant challenges to traditional power scheduling. It is difficult for operators to obtain accurate day-ahead forecasts of rene…

eess.SY2023

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

Xinyue Wang, Haiwang Zhong, Guanglun Zhang +3

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 be…

eess.SY2023

Low-Carbon Economic Dispatch of Bulk Power Systems Using Nash Bargaining Game

Xuyang Li, Guangchun Ruan, Haiwang Zhong

Decarbonization of power systems plays a crucial role in achieving carbon neutral goals across the globe, but there exists a sharp contradiction between the emission reduction and…