Y Ye, D Qiu, M Sun… - … on Smart Grid, 2019 - ieeexplore.ieee.org
Bi-level optimization and reinforcement learning (RL) constitute the state-of-the-art frameworks for modeling strategic bidding decisions in deregulated electricity markets …
Y Du, F Li, H Zandi, Y Xue - Journal of modern power systems …, 2021 - ieeexplore.ieee.org
In this paper, a day-ahead electricity market bidding problem with multiple strategic generation company (GEN-CO) bidders is studied. The problem is formulated as a Markov …
H Xu, Q Wu, J Wen, Z Yang - International journal of electrical power & …, 2022 - Elsevier
The single-task deep reinforcement learning (STDRL)-based methods solve the joint bidding and pricing problem for the electricity retailer in a hierarchical electricity market by …
D Liu, Y Gao, W Wang, Z Dong - IEEE access, 2021 - ieeexplore.ieee.org
With the continuous improvement of new energy penetration in the power system, the price of the spot market of power frequently fluctuates greatly, which damages the income of a …
H Guo, Q Chen, Q Xia, C Kang - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
Due to the deregulation of power systems worldwide, bidding behavior simulation research has gained prominence. One crucial element in these studies is accurately defining and …
Y Liang, C Guo, Z Ding, H Hua - IEEE transactions on power …, 2020 - ieeexplore.ieee.org
Game theoretic methods and simulations based on reinforcement learning (RL) are often used to analyze electricity market equilibrium. However, the former is limited to a simple …
Y Tao, J Qiu, S Lai - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
With the increasing penetration of distributed energy resources (DERs) in smart grids, customers can be aggregated to participate in the local energy market (LEM). In the LEM, on …
Effective bidding on multiple electricity products under uncertainty would allow a more profitable market participation for hybrid power plants with variable energy resources and …
Abstract Machine Learning (ML) has seen a great potential to solve many power system problems along with its transition into Smart Grid. Specifically, electric distribution systems …