activity
20172020
most citedOptimization of Battery Energy Storage to Improve Power System Oscillation Damping

120 citations · 251 across the 25 of their papers we have counts for

collaborators

25 papers

eess.SY2020★ 2 cited

Deriving AC OPF Solutions via Proximal Policy Optimization for Secure and Economic Grid Operation

Yuhao Zhou, Bei Zhang, Chunlei Xu +5

Optimal power flow (OPF) is a very fundamental but vital optimization problem in the power system, which aims at solving a specific objective function (ex.: generator costs) while…

eess.SY2020★ 1 cited

Extended Prony Analysis on Power System Oscillation Under a Near-Resonance Condition

Tianwei Xia, Zhe Yu, Kai Sun +2

Power system oscillations under a large disturbance often exhibit distorted waveforms as captured by increasingly deployed phasor measurement units. One cause is the occurrence of…

eess.SY2020★ 2 cited

Distributed Frequency Emergency Control with Coordinated Edge Intelligence

Yingmeng Xiang, Zhehan Yi, Xiao Lu +5

Developing effective strategies to rapidly support grid frequency while minimizing loss in case of severe contingencies is an important requirement in power systems. While distribu…

cs.DC2020

Graph Computing based Distributed State Estimation with PMUs

Yi Lu, Chen Yuan, Xiang Zhang +4

Power system state estimation plays a fundamental and critical role in the energy management system (EMS). To achieve a high performance and accurate system states estimation, a gr…

eess.SP2019★ 15 cited

AI-Based Autonomous Line Flow Control via Topology Adjustment for Maximizing Time-Series ATCs

Tu Lan, Jiajun Duan, Bei Zhang +4

This paper presents a novel AI-based approach for maximizing time-series available transfer capabilities (ATCs) via autonomous topology control considering various practical constr…

eess.SY2019★ 82 cited

Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach

Xinan Wang, Yishen Wang, Di Shi +2

With the increasing complexity of modern power systems, conventional dynamic load modeling with ZIP and induction motors (ZIP + IM) is no longer adequate to address the current loa…

math.OC2019

Community Microgrid Planning Considering Building Thermal Dynamics

Xiaohu Zhang, Desong Bian, Di Shi +2

In this paper, the building thermal dynamic characteristics are introduced in the community microgrid (MG) planning model. The proposed planning model is formulated as a mixed inte…

math.OC2019★ 2 cited

A Deep Reinforcement Learning Based Approach for Optimal Active Power Dispatch

Jiajun Duan, Haifeng Li, Xiaohu Zhang +6

The stochastic and dynamic nature of renewable energy sources and power electronic devices are creating unique challenges for modern power systems. One such challenge is that the c…

eess.SY2019★ 16 cited

Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning

Ruisheng Diao, Zhiwei Wang, Di Shi +3

Modern power grids are experiencing grand challenges caused by the stochastic and dynamic nature of growing renewable energy and demand response. Traditional theoretical assumption…

cs.DC2019

A High-Performance Energy Management System based on Evolving Graph

Guangyi Liu, Chen Yuan, Xi Chen +3

As the fast growth and large integration of distributed generation, renewable energy resource, energy storage system and load response, the modern power system operation becomes mu…

cs.DC2019

Graph Computing based Fast Screening in Contingency Analysis

Yiting Zhao, Chen Yuan, Sun Li +3

During last decades, contingency analysis has been facing challenges from significant load demand increase and high penetrations of intermittent renewable energy, fluctuant respons…

math.OC2019

Adaptive Robust Energy Management Strategy for Campus-Based Commercial Buildings Considering Comprehensive Comfort Levels

Zheming Liang, Desong Bian, Dawei Su +4

Neglecting consumers' comfort always leads to failure or slow-response to demand response request. In this paper, we propose several comprehensive comfort level models for various…

eess.SY2019

Bayesian Estimation Based Parameter Estimation for Composite Load

Chang Fu, Zhe Yu, Di Shi +4

Accurate identification of parameters of load models is essential in power system computations, including simulation, prediction, and stability and reliability analysis. Convention…

eess.SY2019★ 1 cited

Adaptive Online Learning with Momentum for Contingency-based Voltage Stability Assessment

Zhijie Nie, Xiaohu Zhang, Xiaoying Zhao +4

Voltage stability refers to the ability of a power system to maintain acceptable voltages among all buses under normal operating conditions and after a disturbance. In this paper,…

eess.SP2019

Simplify Power Flow Calculation Using Terminal Circuit and PMU Measurements

Renchang Dai, Xiang Zhang, Junjie Shi +3

Power flow calculation methods have been developed in decades using power injections and Newton-Raphson method. The nonlinear characteristics of the power flow to the bus voltage r…

eess.SP2018★ 2 cited

A Rprop-Neural-Network-Based PV Maximum Power Point Tracking Algorithm with Short-Circuit Current Limitation

Yao Cui, Zhehan Yi, Jiajun Duan +2

This paper proposes a resilient-backpropagation-neural-network-(Rprop-NN) based algorithm for Photovoltaic (PV) maximum power point tracking (MPPT). A supervision mechanism is prop…

eess.SP2018

Online Low Frequency Oscillation Detection and Analysis System with an Ensemble Filter

Desong Bian, Zhe Yu, Di Shi +2

The widespread deployment of phasor measurement unit (PMU) overpower systems makes it possible to monitor and analyze grid dynamics in real-time. Low-frequency oscillation is harmf…

eess.SY2018★ 120 cited

Optimization of Battery Energy Storage to Improve Power System Oscillation Damping

Yongli Zhu, Chengxi Liu, Kai Sun +2

A placement problem for multiple Battery Energy Storage System (BESS) units is formulated towards power system transient voltage stability enhancement in this paper. The problem is…

eess.SP2018★ 4 cited

Graph Based Power Flow Calculation for Energy Management System

Junjie Shi, Guangyi Liu, Renchang Dai +3

Power flow calculation in EMS is required to accommodate a large and complex power system. To achieve a faster than real-time calculation, a graph based power flow calculation is p…

eess.SY2018

Small-signal Stability Analysis and Performance Evaluation of Microgrids under Distributed Control

Yimajian Yan, Di Shi, Desong Bian +3

Distributed control, as a potential solution to decreasing communication demands in microgrids, has drawn much attention in recent years. Advantages of distributed control have bee…

math.OC2018

Sensitivity Based Thevenin Index for Voltage Stability Assessment Considering N-1 Contingency

Xiaohu Zhang, Di Shi, Xiao Lu +3

This paper proposes an approach to address the voltage stability assessment (VSA) considering N-1 contingency. The approach leverages the sensitivity based Thevenin index (STI) whi…

math.OC2018★ 1 cited

Optimal Distributed Energy Resources Sizing for Commercial Building Hybrid Microgrids

Yishen Wang, Zhehan Yi, Di Shi +3

As microgrids have advanced from early prototypes to relatively mature technologies, converting data center integrated commercial buildings to microgrids provides economic, reliabi…

math.OC2018

A Robust Power Grid Defense Model Considering Load Demand and Wind Generation Uncertainties

Yingmeng Xiang, Xiaohu Zhang, Di Shi +3

It is a major task to develop effective strategies for defending the power system against deliberate attacks. It is critical to comprehensively consider the human-related and envir…

math.OC2018★ 2 cited

Finite-Control-Set Model Predictive Control (FCS-MPC) for Islanded Hybrid Microgrids

Zhehan Yi, Abdulrahman J. Babqi, Yishen Wang +4

Microgrids consisting of multiple distributed energy resources (DERs) provide a promising solution to integrate renewable energies, e.g., solar photovoltaic (PV) systems. Hybrid AC…