22 citations · 25 across the 11 of their papers we have counts for
11 papers
Optimal Management of Grid-Interactive Efficient Buildings via Safe Reinforcement Learning
Xiang Huo, Boming Liu, Jin Dong +2
Reinforcement learning (RL)-based methods have achieved significant success in managing grid-interactive efficient buildings (GEBs). However, RL does not carry intrinsic guarantees…
A Review of Scalable and Privacy-Preserving Multi-Agent Frameworks for Distributed Energy Resources
Xiang Huo, Hao Huang, Katherine R. Davis +2
Distributed energy resources (DERs) are gaining prominence due to their advantages in improving energy efficiency, reducing carbon emissions, and enhancing grid resilience. Despite…
On Privacy Preservation of Electric Vehicle Charging Control via State Obfuscation
Xiang Huo, Mingxi Liu
The electric vehicle (EV) industry is rapidly evolving owing to advancements in smart grid technologies and charging control strategies. While EVs are promising in decarbonizing th…
Exploration of For-Purpose Decentralized Algorithmic Cyber Attacks in EV Charging Control
Mahan Fakouri Fard, Xiang Huo, Mingxi Liu
Distributed and decentralized multi-agent optimization (DMAO) algorithms enable the control of large-scale grid-edge resources, such as electric vehicles (EV), to provide power gri…
Privacy-Preserving Distributed Energy Resource Control with Decentralized Cloud Computing
Xiang Huo, Mingxi Liu
The rapidly growing penetration of renewable energy resources brings unprecedented challenges to power distribution networks - management of a large population of grid-tied control…
Two-Level Decentralized-Centralized Control of Distributed Energy Resources in Grid-Interactive Efficient Buildings
Xiang Huo, Jin Dong, Borui Cui +3
The flexible, efficient, and reliable operation of grid-interactive efficient buildings (GEBs) is increasingly impacted by the growing penetration of distributed energy resources (…
Distributed Privacy-Preserving Electric Vehicle Charging Control Based on Secret Sharing
Xiang Huo, Mingxi Liu
Cooperative electric vehicle (EV) charging control has emerged as a key component in grid-edge resource (GER) management. However, customers' privacy remains a major barrier to lar…
Privacy-Preserving Decentralized Multi-Agent Cooperative Optimization -- Paradigm Design and Privacy Analysis
Xiang Huo, Mingxi Liu
Large-scale multi-agent cooperative control problems have materially enjoyed the scalability, adaptivity, and flexibility of decentralized optimization. However, due to the mandato…
A Novel Cryptography-Based Privacy-Preserving Decentralized Optimization Paradigm
Xiang Huo, Mingxi Liu
Existing large-scale optimization schemes are challenged by both scalability and cyber-security. With the favorable scalability, adaptability, and flexibility, decentralized and di…
Two-Facet Scalable Cooperative Optimization of Multi-Agent Systems in The Networked Environment
Xiang Huo, Mingxi Liu
Cooperatively optimizing a vast number of agents that are connected over a large-scale network brings unprecedented scalability challenges. This paper revolves around problems opti…
Decentralized Electric Vehicle Charging Control via a Novel Shrunken Primal Multi-Dual Subgradient (SPMDS) Algorithm
Xiang Huo, Mingxi Liu
The charging processes of a large number of electric vehicles (EVs) require coordination and control for the alleviation of their impacts on the distribution network and for the pr…