14 citations · 26 across the 5 of their papers we have counts for
5 papers
Multiagent Reinforcement Learning in Enhancing Resilience of Microgrids under Extreme Weather Events
Yin Wu, Wei-Yu Chiu, Yuan-Po Tsai +2
Grid resilience is crucial in light of power interruptions caused by increasingly frequent extreme weather events. Well-designed energy management systems (EMS) have made progress…
Profit Maximization for Electric Vehicle Charging Stations Using Multiagent Reinforcement Learning
Kun-Yan Jiang, Wei-Yu Chiu, Yuan-Po Tsai
Electric vehicles (EVs) are increasingly integrated into power grids, offering economic and environmental benefits but introducing challenges due to uncoordinated charging. This st…
Multiobjective Model Predictive Control for Residential Demand Response Management Under Uncertainty
Guan-Ting Lin, Wei-Yu Chiu, Chien-Feng Wu +2
Residential users in demand response programs must balance electricity costs and user dissatisfaction under real-time pricing. This study proposes a multiobjective model predictive…
Memetic Covariance Matrix Adaptation Evolution Strategy for Bilinear Matrix Inequality Problems in Control System Design
Syue-Cian Lin, Wei-Yu Chiu, Chien-Feng Wu
Bilinear Matrix Inequalities (BMIs) are fundamental to control system design but are notoriously difficult to solve due to their nonconvexity. This study addresses BMI-based contro…
Risk-Constrained Community Battery Utilisation Optimisation for Electric Vehicle Charging with Photovoltaic Resources
Khalil Gholami, Asef Nazari, Dhananjay Thiruvady +3
High penetration of renewable generation in the electricity grid presents power system operators with challenges including voltage instability mainly due to fluctuating power gener…