Distributionally Robust Safety Filter for Learning-Based Control in Active Distribution Systems

Distributionally Robust Model Predictive Control for Smart Electric Vehicle Charging Station With V2G/V2V Capability

(2023) Hoang Tien Nguyen et al.   IEEE Transactions on Smart Grid

Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges

(2022) Xin Chen et al.   IEEE Transactions on Smart Grid

Three-Stage Inverter-Based Peak Shaving and Volt-VAR Control in Active Distribution Networks Using Online Safe Deep Reinforcement Learning

(2022) Hoang Tien Nguyen et al.   IEEE Transactions on Smart Grid

Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems

(2020) Ying Zhang et al.   IEEE Transactions on Smart Grid

On distributionally robust chance constrained programs with Wasserstein distance

(2019) Weijun Xie   MATHEMATICAL PROGRAMMING

Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems

(2019) Wei Wang et al.   IEEE Transactions on Smart Grid

Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations

(2017) Peyman Mohajerin Esfahani et al.   MATHEMATICAL PROGRAMMING

On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems

(2014) Kostas Margellos et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Branch Flow Model: Relaxations and Convexification—Part I

(2013) Masoud Farivar et al.   IEEE TRANSACTIONS ON POWER SYSTEMS