Deep Reinforcement Learning Based Autonomous Control Approach for Power System Topology Optimization
Author:
Affiliation:
1. School of Electrical and Information Engineering, Tianjin University,Tianjin,P. R. China,300072
2. State Grid Tianjin Electric Power Company Electric Power Research Institute,Tianjin,P. R. China,300380
Funder
Science and technology project of SGCC (State Grid Corporation of China)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902073.pdf?arnumber=9902073
Reference23 articles.
1. Asynchronous deep reinforcement learning for the mobile robot navigation with supervised auxiliary tasks
2. Review on the research and practice of deep learning and reinforcement learning in smart grids
3. Cooperative Differential Game-Based Optimal Control and Its Application to Power Systems
4. Scheduled Operation of Wind Farm with Battery System Using Deep Reinforcement Learning
5. Data-Driven Load Frequency Control for Stochastic Power Systems: A Deep Reinforcement Learning Method With Continuous Action Search
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