activity
20172022
most citedEnergy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park

92 citations · 165 across the 13 of their papers we have counts for

collaborators

19 papers

math.OC2022

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…

eess.SY2022

Distributed Emergency Frequency Control Considering Transient Stability Constraints in Multi-Infeed Hybrid AC-DC System

Ye Liu, Chen Shen, Zhaojian Wang

Due to possible emergency faults and frequency regulation reserve shortage in the multi-infeed hybrid AC-DC (MIDC) system, the emergency frequency control (EFC) with LCC-HVDC syste…

math.OC2022

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.…

eess.SY2022

Incentive Mechanism Design for Emergency Frequency Control in Multi-Infeed Hybrid AC-DC System

Ye Liu, Chen Shen, Zhaojian Wang +1

In multi-infeed hybrid AC-DC (MIDC) systems, the emergency frequency control (EFC) with LCC-HVDC systems participating is of vital importance for system frequency stability. Nevert…

eess.SY2022

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…

cs.LG202260 cited

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…