activity
20172025
most citedEnergy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park

92 citations · 199 across the 30 of their papers we have counts for

collaborators

32 papers

eess.SY2025

Extreme Scenario Characterization for High Renewable Energy Penetrated Power Systems over Long Time Scales

Kai Kang, Feng Liu, Yifan Su +1

Power systems with high renewable energy penetration are highly influenced by weather conditions, often facing significant challenges such as persistent power shortages and severe…

eess.SY2024★ 1 cited

Optimal Control in Both Steady State and Transient Process with Unknown Disturbances

Ming Li, Zhaojian Wang, Feng Liu +2

The scheme of online optimization as a feedback controller is widely used to steer the states of a physical system to the optimal solution of a predefined optimization problem. Suc…

math.OC2024

On the Equilibrium of a Class of Leader-Follower Games with Decision-Dependent Chance Constraints

Jingxiang Wang, Zhaojian Wang, Bo Yang +2

In this paper, we study the existence of equilibrium in a single-leader-multiple-follower game with decision-dependent chance constraints (DDCCs), where decision-dependent uncertai…

cs.GT2024★ 2 cited

Sharing Energy in Wide Area: A Two-Layer Energy Sharing Scheme for Massive Prosumers

Yifan Su, Peng Yang, Kai Kang +4

The popularization of distributed energy resources transforms end-users from consumers into prosumers. Inspired by the sharing economy principle, energy sharing markets for prosume…

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.LG2022★ 60 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…

cs.GT2022

On Nash-Stackelberg-Nash Games under Decision-Dependent Uncertainties: Model and Equilibrium

Yunfan Zhang, Feng Liu, Zhaojian Wang +4

In this paper, we discuss a class of two-stage hierarchical games with multiple leaders and followers, which is called Nash-Stackelberg-Nash (N-S-N) games. Particularly, we conside…

eess.SY2022★ 92 cited

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…

eess.SY2021

Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park

Dafeng Zhu, Bo Yang, Zhaojian Wang +3

The multi-energy management framework of industrial parks advocates energy conversion and scheduling, which takes full advantage of the compensation and temporal availability of mu…

eess.SY2021★ 4 cited

Approaching the Transient Stability Boundary of a Power System: Theory and Applications

Peng Yang, Feng Liu, Wei Wei +1

Estimating the stability boundary is a fundamental and challenging problem in transient stability studies. It is known that a proper level set of a Lyapunov function or an energy f…

math.OC2021★ 1 cited

Convergence Analysis of Dual Decomposition Algorithm in Distributed Optimization: Asynchrony and Inexactness

Yifan Su, Zhaojian Wang, Ming Cao +2

Dual decomposition is widely utilized in distributed optimization of multi-agent systems. In practice, the dual decomposition algorithm is desired to admit an asynchronous implemen…

eess.SY2021★ 5 cited

Robust Scheduling of Virtual Power Plant under Exogenous and Endogenous Uncertainties

Yunfan Zhang, Feng Liu, Zhaojian Wang +3

Virtual power plant (VPP) provides a flexible solution to distributed energy resources integration by aggregating renewable generation units, conventional power plants, energy stor…

eess.SY2020★ 1 cited

Asynchrony-Resilient and Privacy-Preserving Charging Protocol for Plug-in Electric Vehicles

Yunfan Zhang, Feng Liu, Zhaojian Wang +5

The proliferation of plug-in electric vehicles (PEVs) advocates a distributed paradigm for the coordination of PEV charging. Distinct from existing primal-dual decomposition or con…

math.OC2020★ 1 cited

Exponential Stability of Partial Primal-Dual Gradient Dynamics with Nonsmooth Objective Functions

Zhaojian Wang, Wei Wei, Changhong Zhao +3

In this paper, we investigate the continuous time partial primal-dual gradient dynamics (P-PDGD) for solving convex optimization problems with the form $ \min\limits_{x\in X,y\inΩ}…

eess.SY2019

Distributed Generalized Nash Equilibrium Seeking for Energy Sharing Games

Zhaojian Wang, Feng Liu, Zhiyuan Ma +4

With the proliferation of distributed generators and energy storage systems, traditional passive consumers in power systems have been gradually evolving into the so-called "prosume…

eess.SY2019★ 1 cited

Asynchronous Distributed Voltage Control in Active Distribution Networks

Zhaojian Wang, Feng Liu, Yifan Su +1

With the explosion of distributed energy resources (DERs), voltage regulation in distribution networks has been facing a great challenge. This paper derives an asynchronous distrib…

eess.SY2019★ 5 cited

Toward Distributed Stability Analytics for Power Systems with Heterogeneous Bus Dynamics

Peng Yang, Feng Liu, Zhaojian Wang +3

The stability issue emerges as a growing number of diverse power apparatus connecting to the power system. The stability analysis for such power systems is required to adapt to het…

eess.SY2019★ 5 cited

Distributed Stability Conditions for Power Systems with Heterogeneous Nonlinear Bus Dynamics

Peng Yang, Feng Liu, Zhaojian Wang +1

This paper derives distributed conditions that guarantee the system-wide stability for power systems with nonlinear and heterogeneous bus dynamics interconnected via power network.…

eess.SY2019★ 2 cited

Towards Distributed Stability Analytics of Dynamic Power Systems: A Phasor-Circuit Theory Perspective

Peng Yang, Feng Liu, Zhaojian Wang +1

With the rapid development of renewable and distributed energies, the underlying dynamics of power systems are no longer dominated by large synchronous generators, but by numerous…

eess.SY2019

Distributed Optimal Load Frequency Control Considering Nonsmooth Cost Functions

Zhaojian Wang, Feng Liua, Changhong Zhao +2

This work addresses the distributed frequency control problem in power systems considering controllable load with a nonsmooth cost. The nonsmoothness exists widely in power systems…