フォロー
Robert Broderick
Robert Broderick
確認したメール アドレス: sandia.gov
タイトル
引用先
引用先
Improving distribution network PV hosting capacity via smart inverter reactive power support
J Seuss, MJ Reno, RJ Broderick, S Grijalva
2015 IEEE Power & Energy Society General Meeting, 1-5, 2015
1622015
On the path to sunshot: Emerging issues and challenges in integrating solar with the distribution system
B Palmintier, RJ Broderick, B Mather, M Coddington, K Baker, F Ding, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2016
1582016
Characterizing local high-frequency solar variability and its impact to distribution studies
M Lave, MJ Reno, RJ Broderick
Solar Energy 118, 327-337, 2015
1572015
Time series power flow analysis for distribution connected PV generation.
RJ Broderick, JE Quiroz, A Ellis, MJ Reno, J Smith, R Dugan
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2013
1432013
Distribution system model calibration with big data from AMI and PV inverters
J Peppanen, MJ Reno, RJ Broderick, S Grijalva
IEEE Transactions on Smart Grid 7 (5), 2497-2506, 2016
982016
Smart inverter capabilities for mitigating over-voltage on distribution systems with high penetrations of PV
MJ Reno, RJ Broderick, S Grijalva
2013 IEEE 39th Photovoltaic Specialists Conference (PVSC), 3153-3158, 2013
782013
Time series simulation of voltage regulation device control modes
JE Quiroz, MJ Reno, RJ Broderick
2013 IEEE 39th Photovoltaic Specialists Conference (PVSC), 1700-1705, 2013
752013
Distribution system low-voltage circuit topology estimation using smart metering data
J Peppanen, S Grijalva, MJ Reno, RJ Broderick
2016 IEEE/PES transmission and distribution conference and exposition (t&d), 1-5, 2016
742016
Locational dependence of PV hosting capacity correlated with feeder load
K Coogan, MJ Reno, S Grijalva, RJ Broderick
2014 IEEE PES T&D Conference and Exposition, 1-5, 2014
682014
A fast scalable quasi-static time series analysis method for PV impact studies using linear sensitivity model
MU Qureshi, S Grijalva, MJ Reno, J Deboever, X Zhang, RJ Broderick
IEEE Transactions on Sustainable Energy 10 (1), 301-310, 2018
532018
Methods to determine recommended feeder-wide advanced inverter settings for improving distribution system performance
M Rylander, MJ Reno, JE Quiroz, F Ding, H Li, RJ Broderick, B Mather, ...
2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), 1393-1398, 2016
512016
Reduction of distribution feeders for simplified PV impact studies
MJ Reno, K Coogan, R Broderick, S Grijalva
2013 IEEE 39th Photovoltaic Specialists Conference (PVSC), 2337-2342, 2013
512013
Fast quasi-static time-series (QSTS) for yearlong PV impact studies using vector quantization
J Deboever, S Grijalva, MJ Reno, RJ Broderick
Solar Energy 159, 538-547, 2018
482018
PV interconnection risk analysis through distribution system impact signatures and feeder zones
MJ Reno, K Coogan, S Grijalva, RJ Broderick, JE Quiroz
2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014
462014
Advanced inverter controls to dispatch distributed PV systems
J Seuss, MJ Reno, M Lave, RJ Broderick, S Grijalva
2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), 1387-1392, 2016
452016
Analysis of PV Advanced Inverter Functions and Setpoints under Time Series Simulation.
J Seuss, MJ Reno, RJ Broderick, S Grijalva
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016
442016
PV ramp rate smoothing using energy storage to mitigate increased voltage regulator tapping
MJ Reno, M Lave, JE Quiroz, RJ Broderick
2016 IEEE 43rd photovoltaic specialists conference (PVSC), 2015-2020, 2016
432016
Challenges in reducing the computational time of QSTS simulations for distribution system analysis.
J Deboever, X Zhang, MJ Reno, RJ Broderick, S Grijalva, F Therrien
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
422017
Clustering methodology for classifying distribution feeders
RJ Broderick, JR Williams
2013 IEEE 39th Photovoltaic Specialists Conference (PVSC), 1706-1710, 2013
422013
Solar variability zones: Satellite-derived zones that represent high-frequency ground variability
M Lave, RJ Broderick, MJ Reno
Solar Energy 151, 119-128, 2017
372017
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