Day-Ahead Optimal Dispatch in Active Distribution Network Based on Deep Reinforcement Learning with Improved Feature Extraction Network
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, North China Electric Power University,Baoding,China
2. China Electric Power Research Institute,Nanjing,China
Funder
Science and Technology Project of State Grid Corporation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10511272/10512350/10512578.pdf?arnumber=10512578
Reference13 articles.
1. Challenges and Prospects for Constructing the New-type Power System Towards a Carbon Neutrality Future[J];Zhigang,2022
2. Rethinking of the “Three Elements of Energy” Toward Carbon Peak and Carbon Neutrality[J];Baoan,2022
3. Dynamic Optimal Power Flow for Active Distribution Networks
4. Bridging electricity market and carbon emission market through electric vehicles: Optimal bidding strategy for distribution system operators to explore economic feasibility in China's low-carbon transitions
5. Optimal Control of DERs in ADN Under Spatial and Temporal Correlated Uncertainties
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