TY - GEN
T1 - A guided deep reinforcement learning method for distribution voltage regulation via battery systems
AU - Huang, Xiaoge
AU - Ding, Zhenhuan
AU - Zhang, Ziang
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021/2/16
Y1 - 2021/2/16
N2 - The rapid growth of photovoltaic penetration leads to serious voltage issues in distribution grids. While the battery energy storage system has been used for voltage regulation, its effectiveness is limited by the assumption of adequate battery sizes. In this paper, we first propose a battery scheduling model to relax the battery size assumption. Afterward, a deep reinforcement learning-based method is proposed to solve this high-dimensional scheduling model. The method includes a guided training framework, which combines reward shaping and curriculum learning techniques to guide the training. The proposed method has been implemented to the IEEE 13-bus test feeder. It shows that the guided training framework accelerates the training and improves the convergence.
AB - The rapid growth of photovoltaic penetration leads to serious voltage issues in distribution grids. While the battery energy storage system has been used for voltage regulation, its effectiveness is limited by the assumption of adequate battery sizes. In this paper, we first propose a battery scheduling model to relax the battery size assumption. Afterward, a deep reinforcement learning-based method is proposed to solve this high-dimensional scheduling model. The method includes a guided training framework, which combines reward shaping and curriculum learning techniques to guide the training. The proposed method has been implemented to the IEEE 13-bus test feeder. It shows that the guided training framework accelerates the training and improves the convergence.
KW - Battery size
KW - Deep reinforcement learning
KW - Renewable energy integration
KW - Voltage regulation
UR - https://www.scopus.com/pages/publications/85103470064
U2 - 10.1109/ISGT49243.2021.9372224
DO - 10.1109/ISGT49243.2021.9372224
M3 - Conference contribution
T3 - 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021
BT - 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021
Y2 - 16 February 2021 through 18 February 2021
ER -