Deep reinforcement learning-driven bidding strategy for wind-storage systems in energy and frequency regulation markets

In the power market environment, participation of wind-storage system in both the energy market and the frequency regulation market is essential to enhance economic efficiency and support grid frequency regulation and peak shaving. However, key issues such as formulating bidding strategies for wind-...

Full description

Bibliographic Details

Published in:	电力工程技术
Main Authors:	Zhongping LI, Yue XIANG
Format:	Article
Language:	Chinese
Published:	Editorial Department of Electric Power Engineering Technology 2025-05-01
Subjects:	wind-storage system energy and frequency regulation market deep reinforcement learning real-time frequency regulation performance scoring actor-critic multi-entity bidding game
Online Access:	https://doi.org/10.12158/j.2096-3203.2025.03.003