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20152022
most citedGame Design and Analysis for Price based Demand Response: An Aggregate Game Approach

292 citations · 606 across the 37 of their papers we have counts for

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Showing 2021Show all

10 papers · 1 filter

math.OC2021★ 2 cited

Distributed Generalized Nash Equilibrium Seeking of N-Coalition Games with Full and Distributive Constraints

Chao Sun, Guoqiang Hu

In this work, we investigate the distributed generalized Nash equilibrium (GNE) seeking problems for -coalition games with inequality constraints. First, we study the scenario w…

math.OC2021

Distributed Optimization with Coupling Constraints Based on Dual Proximal Gradient Method in Multi-Agent Networks

Jianzheng Wang, Guoqiang Hu

In this paper, we aim to solve a distributed optimization problem with affine coupling constraints in a multi-agent network, where the cost function of the agents is composed of sm…

eess.SY2021

Social Cost Optimization for Prosumer Community with Two Price-Package Incentives in Two-Settlement Based Electricity Market

Jianzheng Wang, Guoqiang Hu

In this paper, we consider a future electricity market consisting of aggregated energy prosumers, who are equipped with local wind power plants (WPPs) to support (part of) their en…

eess.SY2021★ 2 cited

Resilient Time-Varying Output Formation Tracking of Linear Multi-Agent Systems Against Unbounded FDI Sensor Attacks and Unreliable Digraphs

Zhi Feng, Guoqiang Hu

One salient feature of cooperative formation tracking is its distributed nature that relies on localized control and information sharing over a sparse communication network. That i…

math.OC2021★ 1 cited

Attack-Resilient Distributed Convex Optimization of Linear Multi-Agent Systems Against Malicious Cyber-Attacks over Random Digraphs

Zhi Feng, Guoqiang Hu

This paper addresses a resilient exponential distributed convex optimization problem for a heterogeneous linear multi-agent system under Denial-of-Service (DoS) attacks over random…

math.OC2021★ 1 cited

A Gradient-Free Distributed Optimization Method for Convex Sum of Non-Convex Cost Functions

Yipeng Pang, Guoqiang Hu

This paper presents a special type of distributed optimization problems, where the summation of agents' local cost functions (i.e., global cost function) is convex, but each indivi…

eess.SY2021★ 1 cited

Social Profit Optimization with Demand Response Management in Electricity Market: A Multi-timescale Leader-following Approach

Jianzheng Wang, Yipeng Pang, Guoqiang Hu

In the electricity market, it is quite common that the market participants make "selfish" strategies to harvest the maximum profits for themselves, which may cause the social benef…

math.OC2021

Composite Optimization with Coupling Constraints via Penalized Proximal Gradient Method in Partially Asynchronous Networks

Jianzheng Wang, Guoqiang Hu

In this paper, we consider a composite optimization problem with linear coupling constraints in a multi-agent network. In this problem, all the agents jointly optimize a global com…

math.OC2021★ 3 cited

Composite Optimization with Coupling Constraints via Dual Proximal Gradient Method with Applications to Asynchronous Networks

Jianzheng Wang, Guoqiang Hu

In this paper, we consider solving a composite optimization problem with coupling constraints in a multi-agent network based on proximal gradient method. In this problem, all the a…

cs.GT2021★ 3 cited

Selling Renewable Utilization Service to Consumers via Cloud Energy Storage

Yu Yang, Utkarsha Agwan, Guoqiang Hu +1

This paper proposes a cloud energy storage (CES) model for enabling local renewable integration of building consumers (BCs). Different from most existing third-party based ES shari…