activity
20182026
most citedMulti-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks

75 citations · 246 across the 15 of their papers we have counts for

collaborators

18 papers

eess.SY2026

An Energy-Based Framework for Transient Stability of Grid-Forming Converter Networks With Current Limiting

Wei Zhou, Yunjie Gu

Existing analyses for the transient stability of grid-forming (GFM) converters under current limiting mainly address single-converter systems, while network-level transient stabili…

eess.SY2026

A Small-Gain-Like Framework for Large-Signal Stability Evaluation of Multi-Converter Systems

Qiannan Qu, Kaiwen Chen, Xin Xiang +2

The increasing penetration of grid-connected converters has greatly altered the large-signal behavior of power systems. Their angle dynamics, shaped by diverse control algorithms a…

eess.SY2026

Consideration of Control-Loop Interaction in Transient Stability of Grid-Following Inverters using Bandwidth Separation Method

Yifan Zhang, Yunjie Gu, Yue Zhu +3

Grid-following inverters have been widely adopted as a grid interface for renewable energy, and ensuring their small-signal and large-signal stability is critical to modern power s…

eess.SY2025

Large-Signal Stability of Power Systems with Mixtures of GFL, GFM and GSP Inverters

Yifan Zhang, Yaoxin Wang, Yunjie Gu +5

Grid-following (GFL) inverters have very different large-signal stability characteristics to synchronous generators, and convenient concepts such as the equal-area criterion and gl…

eess.SY2023

Descriptor State Space Modeling of Power Systems

Yitong Li, Timothy C. Green, Yunjie Gu

State space is widely used for modeling power systems and analyzing their dynamics but it is limited to representing causal and proper systems in which the number of zeros does not…

eess.SY2022

Whole-System First-Swing Stability of Inverter-Based Inertia-Free Power Systems

Yitong Li, Yunjie Gu

The emphasis on inertia for system stability has been a long-held tradition in conventional grids. The fast and flexible controllability of inverters opens up new possibilities. Th…

eess.SY2022

Impedance-based Root-cause Analysis: Comparative Study of Impedance Models and Calculation of Eigenvalue Sensitivity

Yue Zhu, Yunjie Gu, Yitong Li +1

Impedance models of power systems are useful when state-space models of apparatus such as inverter-based resources (IBRs) have not been made available and instead only black-box im…

cs.LG2021★ 75 cited

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks

Jianhong Wang, Wangkun Xu, Yunjie Gu +2

This paper presents a problem in power networks that creates an exciting and yet challenging real-world scenario for application of multi-agent reinforcement learning (MARL). The e…

eess.SY2021

Dual Synchronous Generator: Inertial Current Source based Grid-Forming Solution for VSC

Huanhai Xin, Kehao Zhuang, Pengfei Hu +2

In order to improve dynamic characteristics of the power system with high-proportion renewable energy sources (RESs), it is necessary for the voltage source converter (VSC), interf…

eess.SY2021★ 1 cited

Mapping of Dynamics between Mechanical and Electrical Ports in SG-IBR Composite Grids

Yitong Li, Yunjie Gu, Timothy C. Green

Power grids are traditionally dominated by synchronous generators (SGs) but are currently undergoing a major transformation through the increasing integration of inverter-based res…

cs.LG2021★ 9 cited

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning

Jianhong Wang, Yuan Zhang, Yunjie Gu +1

Value factorisation is a useful technique for multi-agent reinforcement learning (MARL) in global reward game, however its underlying mechanism is not yet fully understood. This pa…

eess.SY2021★ 14 cited

Revisiting Grid-Forming and Grid-Following Inverters: A Duality Theory

Yitong Li, Yunjie Gu, Timothy C. Green

Power electronic converters for integrating renewable energy resources into power systems can be divided into grid-forming and grid-following inverters. They possess certain simila…

eess.SY2021★ 1 cited

The Intrinsic Communication in Power Systems: A New Perspective to Understand Synchronization Stability

Yitong Li, Timothy C. Green, Yunjie Gu

Synchronization is an essential element in three-phase ac electric power systems. The large-scale integration of converter-interfaced resources leads to the power grid transformati…

eess.SY2021★ 10 cited

Participation Analysis in Impedance Models: The Grey-Box Approach for Power System Stability

Yue Zhu, Yunjie Gu, Yitong Li +1

This paper develops a grey-box approach to small-signal stability analysis of complex power systems that facilitates root-cause tracing without requiring disclosure of the full det…

cs.CL2020★ 31 cited

Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System

Jianhong Wang, Yuan Zhang, Tae-Kyun Kim +1

Designing task-oriented dialogue systems is a challenging research topic, since it needs not only to generate utterances fulfilling user requests but also to guarantee the comprehe…

eess.SY2019

Impedance-Based Whole-System Modeling for a Composite Grid via Frame-Dynamics Embedding

Yunjie Gu, Yitong Li, Yue Zhu +1

The paper establishes a methodology to overcome the difficulty of dynamic frame alignment and system separation in impedance modeling of ac grids, and thereby enables impedance-bas…

cs.LG2019★ 73 cited

Shapley Q-value: A Local Reward Approach to Solve Global Reward Games

Jianhong Wang, Yuan Zhang, Tae-Kyun Kim +1

Cooperative game is a critical research area in the multi-agent reinforcement learning (MARL). Global reward game is a subclass of cooperative games, where all agents aim to maximi…

eess.SP2018★ 32 cited

Interpreting Frame Transformations as Diagonalization of Harmonic Transfer Functions

Yunjie Gu, Yitong Li, Timothy C. Green

Analysis of ac electrical systems can be performed via frame transformations in the time-domain or via harmonic transfer functions (HTFs) in the frequency-domain. The two approache…