Deep Reinforcement Learning-Based Operation of Distribution Systems Using Surrogate Model

Author:

Bui Van-Hai1,Zarrabian Sina1,Su Wencong2

Affiliation:

1. State University of New York (SUNY), Maritime College,Department of Electrical Engineering,New York,USA

2. University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Michigan,USA

Publisher

IEEE

Reference14 articles.

1. Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more;lapan;Packt Publishing Ltd,2018

2. An Enhanced IEEE 33 Bus Benchmark Test System for Distribution System Studies

3. Bridging the gap between value and policy based reinforcement learning;nachum;Advances in neural information processing systems,2017

4. Surrogate-Assisted Multi-Objective Probabilistic Optimal Power Flow for Distribution Network With Photovoltaic Generation and Electric Vehicles

5. Fundamentals of Data-Driven Surrogate Modeling

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