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Mengqi Yao
Mengqi Yao
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
An optimal power-flow approach to improve power system voltage stability using demand response
M Yao, DK Molzahn, JL Mathieu
IEEE Transactions on Control of Network Systems 6 (3), 1015-1025, 2019
262019
Using demand response to improve power system voltage stability margins
M Yao, JL Mathieu, DK Molzahn
2017 IEEE Manchester PowerTech, 1-6, 2017
192017
Mitigating voltage unbalance using distributed solar photovoltaic inverters
M Yao, IA Hiskens, JL Mathieu
IEEE Transactions on Power Systems 36 (3), 2642-2651, 2020
172020
Using demand response to shape the fast dynamics of the bulk power network
K Koorehdavoudi, M Yao, S Roy, JL Mathieu
Proceedings of the IREP Symposium on Bulk Power System Dynamics and Control, 2017
132017
Improving power system voltage stability by using demand response to maximize the distance to the closest saddle-node bifurcation
M Yao, IA Hiskens, JL Mathieu
2018 IEEE Conference on Decision and Control (CDC), 2390-2395, 2018
92018
Applying Steinmetz circuit design to mitigate voltage unbalance using distributed solar PV
M Yao, IA Hiskens, JL Mathieu
2019 IEEE Milan PowerTech, 1-6, 2019
82019
The impact of load models in an algorithm for improving voltage stability via demand response
M Yao, DK Molzahn, JL Mathieu
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
82017
Overcoming the practical challenges of applying Steinmetz circuit design to mitigate voltage unbalance using distributed solar PV
M Yao, JL Mathieu
Electric Power Systems Research 188, 106563, 2020
52020
Data-Driven Power System Optimal Decision Making Strategy underWildfire Events
W Hong, B Wang, M Yao, D Callaway, L Dale, C Huang
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2022
32022
Integration of Centralized and Distributed Methods to Mitigate Voltage Unbalance using Solar Inverters
K Girigoudar, M Yao, JL Mathieu, LA Roald
IEEE Transactions on Smart Grid, 2022
2022
Predicting Electricity Infrastructure Induced Wildfire Risk in California
M Yao, M Bharadwaj, Z Zhang, B Jin, DS Callaway
arXiv preprint arXiv:2206.02930, 2022
2022
An Overview of Mitigating and Managing Extreme Wildfire Risk in California
C Jones, D Lucas, A Bagley, J Boomhower, D Callaway, LV Carvalho, ...
102nd American Meteorological Society Annual Meeting, 2022
2022
Mitigating Phase Unbalance for Distribution Systems with High Penetrations of Solar PV
DK Molzahn, LA Roald, JL Mathieu, IA Hiskens, D Pinney, B Li, ...
Argonne National Lab.(ANL), Argonne, IL (United States), 2021
2021
Using Distributed Energy Resources to Improve Power System Stability and Voltage Unbalance
M Yao
2020
A Multi-Period OPF Approach to Improve Voltage Stability using Demand Response
DK Molzahn, M Yao, JL Mathieu
2017
Demand Response Algorithms to Improve Electric Power System Stability Margins
M Yao, K Koorehdavoudi, S Roy, D Molzahn, I Hiskens, J Mathieu
2015
Using Demand Response to Improve Power System Small-Signal Stability
M Yao, S Roy, J Mathieu
SEGAN-D-22-01020, 0
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