92 citations · 225 across the 11 of their papers we have counts for
7 papers · 1 filter
Online Optimization in Power Systems with High Penetration of Renewable Generation: Advances and Prospects
Zhaojian Wang, Wei Wei, John Zhen Fu Pang +4
Traditionally, offline optimization of power systems is acceptable due to the largely predictable loads and reliable generation. The increasing penetration of fluctuating renewable…
Distributed Online Generalized Nash Equilibrium Tracking for Prosumer Energy Trading Games
Yongkai Xie, Zhaojian Wang, John Z. F. Pang +2
With the proliferation of distributed generations, traditional passive consumers in distribution networks are evolving into "prosumers", which can both produce and consume energy.…
Stochastic Gradient-based Fast Distributed Multi-Energy Management for an Industrial Park with Temporally-Coupled Constraints
Dafeng Zhu, Bo Yang, Chengbin Ma +4
Contemporary industrial parks are challenged by the growing concerns about high cost and low efficiency of energy supply. Moreover, in the case of uncertain supply/demand, how to m…
Multi-level Coordinated Energy Management for Energy Hub in Hybrid Markets with Distributionally Robust Scheduling
Jiaxin Cao, Bo Yang, Shanying Zhu +2
Maintaining energy balance and economical operation is significant for multi-energy systems such as the energy hub. However, it is usually challenged by the frequently changing and…
Bidirectional Pricing and Demand Response for Nanogrids with HVAC Systems
Jiaxin Cao, Bo Yang, Shanying Zhu +2
Owing to the fluctuant renewable generation and power demand, the energy surplus or deficit in each nanogrid is embodied differently across time. To stimulate local renewable energ…
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations
Qi Liu, Bo Yang, Zhaojian Wang +4
Due to the different losses caused by various photovoltaic (PV) array faults, accurate diagnosis of fault types is becoming increasingly important. Compared with a single one, mult…
Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park
Dafeng Zhu, Bo Yang, Yuxiang Liu +3
Owing to large industrial energy consumption, industrial production has brought a huge burden to the grid in terms of renewable energy access and power supply. Due to the coupling…