5 papers
Two-Stage TSO-DSO Services Provision Framework for Electric Vehicle Coordination
Yi Wang, Dawei Qiu, Fei Teng +1
High renewable penetration has been witnessed in power systems, resulting in reduced system inertia and increasing requirements for frequency response services. Electric vehicles (…
Regional Frequency-Constrained Planning for the Optimal Sizing of Power Systems via Enhanced Input Convex Neural Networks
Yi Wang, Goran Strbac
Large renewable penetration has been witnessed in power systems, resulting in reduced levels of system inertia and increasing requirements for frequency response services. There ha…
Towards Microgrid Resilience Enhancement via Mobile Power Sources and Repair Crews: A Multi-Agent Reinforcement Learning Approach
Yi Wang, Dawei Qiu, Fei Teng +1
Mobile power sources (MPSs) have been gradually deployed in microgrids as critical resources to coordinate with repair crews (RCs) towards resilience enhancement owing to their fle…
Transient Stability-Driven Planning for the Optimal Sizing of Resilient AC/DC Hybrid Microgrids
Yi Wang, Goran Strbac
This paper proposes a transient stability-driven planning framework for the optimal sizing problem of resilient AC/DC hybrid microgrids (HMGs) under different types of contingencie…
HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management
Jiadong He, Liang Yu, Zhiqiang Chen +6
This letter proposes an Adversarial Inverse Reinforcement Learning (AIRL)-based energy management method for a smart home, which incorporates an implicit thermal dynamics model. In…