2 citations · 6 across the 6 of their papers we have counts for
6 papers
A Reinforcement Learning Method For Power Suppliers' Strategic Bidding with Insufficient Information
Qiangang Jia, Zhaoyu Hu, Yiyan Li +2
Power suppliers can exercise market power to gain higher profit. However, this becomes difficult when external information is extremely rare. To get a promising performance in an e…
GenCos' Behaviors Modeling Based on Q Learning Improved by Dichotomy
Qiangang Jia, Zhaoyu Hu, Yiyan Li +2
Q learning is widely used to simulate the behaviors of generation companies (GenCos) in an electricity market. However, existing Q learning method usually requires numerous iterati…
A Multi-step Piecewise Linear Approximation Based Solution for Load Pick-up Problem in Electrical Distribution System
Jingyang Yun, Yun Zhou, Weidong Hu +3
The load pick-up (LPP) problem searches the optimal configuration of the electrical distribution system (EDS), aiming to minimize the power loss or provide maximum power to the loa…
Self-optimal Piecewise Linearization Based Network Power Flow Constraints in Electrical Distribution System Optimization
Yun Zhou, Jingyang Yun, Zheng Yan +2
As a representative mathematical expression of power flow (PF) constraints in electrical distribution system (EDS), the piecewise linearization (PWL) based PF constraints have been…
Distributionally Robust Co-Optimization of Power Dispatch and Do-Not-Exceed Limits
Hongyan Ma, Ruiwei Jiang, Zheng Yan
To address the challenge of the renewable energy uncertainty, the ISO New England (ISO-NE) has proposed to apply do-not-exceed (DNE) limits, which represent the maximum nodal injec…
Optimal Scheduling of Electric Vehicles Charging in low-Voltage Distribution Systems
Shaolun Xu, Liang Zhang, Zheng Yan +3
Uncoordinated charging of large-scale electric vehicles (EVs) will have a negative impact on the secure and economic operation of the power system, especially at the distribution l…