Integrated Electricity-Gas System Optimal Dispatch Based on Deep Reinforcement Learning
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2021 IEEE Sustainable Power and Energy Conference |
| Subtitle of host publication | Energy Transition for Carbon Neutrality, iSPEC 2021 |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. |
| Pages | 1082-1086 |
| ISBN (electronic) | 9781665414395 |
| ISBN (print) | 9781665414401 |
| Publication status | Published - Dec 2021 |
Publication series
| Name | Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC |
|---|
Conference
| Title | 2021 IEEE Sustainable Power and Energy Conference (iSPEC 2021) |
|---|---|
| Place | China |
| City | Nanjing |
| Period | 22 - 24 December 2021 |
Link(s)
Abstract
Optimal dispatch plays a significant role in the efficient work of Integrated Electricity-Gas System (IEGS). This paper employs the Deep Reinforcement Learning (DRL) method to solve the IEGS optimal dispatch problem to improve the efficiency of decision-making. Mathematical modeling for the power network, gas network, and coupling equipment in the IEGS is first conducted. The objective function and constraints of the IEGS optimal dispatch model considering the economy and low carbon emission are proposed. Then, the Soft Actor-Critic algorithm (SAC) is selected to solve the optimal dispatch problem. A case on a modified IEGS combining IEEE 9-node with Gas 9-node is introduced to verify the effectiveness of DRL on the optimal dispatch problem.
Research Area(s)
- deep reinforcement learning, IEGS, optimal dispatch, Soft Actor-Critic Algorithm
Citation Format(s)
Integrated Electricity-Gas System Optimal Dispatch Based on Deep Reinforcement Learning. / Teng, Xinyuan; Long, Huan; Yang, Luoxiao.
Proceedings - 2021 IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC 2021. Institute of Electrical and Electronics Engineers, Inc., 2021. p. 1082-1086 (Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC).
Proceedings - 2021 IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC 2021. Institute of Electrical and Electronics Engineers, Inc., 2021. p. 1082-1086 (Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
