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

120 citations · 483 across the 46 of their papers we have counts for

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18 papers · 1 filter

eess.SY2020

Time Series Classification for Locating Forced Oscillation Sources

Yao Meng, Zhe Yu, Ning Lu +1

Forced oscillations are caused by sustained cyclic disturbances. This paper presents a machine learning (ML) based time-series classification method that uses the synchrophasor mea…

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

Implications of Stahl's Theorems to Holomorphic Embedding Pt. 1: Theoretical Convergence

Songyan Li, Daniel Tylavsky, Di Shi +1

What has become known as Stahl's Theorem in power engineering circles has been used to justify a convergence guarantee of the Holormorphic Embedding Method (HEM) as it applies to t…

eess.SY2020★ 1 cited

Implications of Stahl's Theorems to Holomorphic Embedding Pt. 2: Numerical Convergence

Abhinav Dronamraju, Songyan Li, Qirui Li +4

What has become known as Stahl's Theorem in power-engineering circles has been used to justify a convergence guarantee of the Holomorphic Embedding Method (HEM) as it applies to th…

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…

eess.SY2020★ 5 cited

Wide Area Measurement System-based Low Frequency Oscillation Damping Control through Reinforcement Learning

Yousaf Hashmy, Zhe Yu, Di Shi +1

Ensuring the stability of power systems is gaining more attraction today than ever before, due to the rapid growth of uncertainties in load and renewable energy penetration. Lately…

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…

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…

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.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.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…

eess.SY2017

Online Coherence Identification Using Dynamic Time Warping for Controlled Islanding

Hasan Ul Banna, Zhe Yu, Di Shi +5

Controlled islanding is considered to be the last countermeasure to prevent system-wide blackouts in case of cascading failures. It splits the system into self-sustained islands to…

eess.SY2017

A Distributed Cooperative Control Framework for Synchronized Reconnection of a Multi-Bus Microgrid

Di Shi, Xi Chen, Zhiwei Wang +4

One critical value microgrids bring to power systems is resilience, the capability of being able to island from the main grid under certain conditions and connect back when necessa…

eess.SY2017★ 55 cited

Approximate Analytical Solutions of Power Flow Equations Based on Multi-Dimensional Holomorphic Embedding Method

Chengxi Liu, Bin Wang, Xin Xu +2

It is well known that closed-form analytical solutions for AC power flow equations do not exist in general. This paper proposes a multi-dimensional holomorphic embedding method (MD…

eess.SY2017★ 3 cited

Two-Bus Holomorphic Embedding Method-based Equivalents and Weak-Bus Determination

Shruti Rao, Daniel Tylavsky, Weili Yi +3

A new method of solving the power-flow problem, the holomorphically embedded load-flow method (HELM) is theoretically guaranteed to find the high-voltage solution, if one exists, u…

eess.SY2017★ 50 cited

Online Calibration of Phasor Measurement Unit Using Density-Based Spatial Clustering

Xinan Wang, Di Shi, Zhiwei Wang +4

Data quality of Phasor Measurement Unit (PMU) is receiving increasing attention as it has been identified as one of the limiting factors that affect many wide-area measurement syst…