Deep Reinforcement Learning Generation Scheduling Scheme for High—Renewable Penetrated Power System
Author:
Affiliation:
1. North China branch of State Grid,Dept. of Dispatching Control,Beijing,China
2. Beijing QU Creative Technology Co., Ltd.,Dept. of Smart Grid,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9948701/9949620/09949815.pdf?arnumber=9949815
Reference19 articles.
1. A Deep Reinforcement Learning Based Approach for Optimal Active Power Dispatch
2. Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning
3. Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm
4. Deep Reinforcement Learning based Charging Pricing for Autonomous Mobility-on-Demand System
5. Combined heat and power system intelligent economic dispatch: A deep reinforcement learning approach
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