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Title: Load Aggregation Methods for Quasi-Static Power Flow Analysis on High PV Penetration Feeders

Abstract

This paper focuses on developing load aggregation methodologies for analyzing quasi-static power flows on high photovoltaic penetrated distribution feeders so statistics of the transformer loading levels, voltage ramping events, and voltage violation events can be properly quantified. A load profile aggregation algorithm is presented to construct 24-hour, minute-by-minute load profiles at each load node on the test feeder so the aggregation of those load profiles matches the load profile measured at the feeder head. A quasi-static power flow analyses are conducted to obtain minute-by-minute power flow results that can be used to quantify transformer overloads and voltage issues in distribution systems. To demonstrate the effectiveness of the developed methodology, the IEEE-123 test feeder model and residential load profiles collected from the PECAN street project are used in the case studies. Simulation results show that the method is effective in producing the required operation statistics.

Authors:
 [1];  [1];  [1];  [1]; ORCiD logo [2];  [3]
  1. North Carolina State University
  2. BATTELLE (PACIFIC NW LAB)
  3. Duke Energy
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1512753
Report Number(s):
PNNL-SA-131253
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IEEE/PES Transmission and Distribution Conference and Exposition (T&D 2018), April 16-19, 2018, Denver, CO
Country of Publication:
United States
Language:
English
Subject:
Load aggregaton, PV integration, quasi-static power flow, voltage regulation

Citation Formats

Wang, Jiyu, Zhu, Xiangqi, Lubkeman, David L., Lu, Ning, Samaan, Nader A., and Werts, Brant. Load Aggregation Methods for Quasi-Static Power Flow Analysis on High PV Penetration Feeders. United States: N. p., 2018. Web. doi:10.1109/TDC.2018.8440485.
Wang, Jiyu, Zhu, Xiangqi, Lubkeman, David L., Lu, Ning, Samaan, Nader A., & Werts, Brant. Load Aggregation Methods for Quasi-Static Power Flow Analysis on High PV Penetration Feeders. United States. doi:10.1109/TDC.2018.8440485.
Wang, Jiyu, Zhu, Xiangqi, Lubkeman, David L., Lu, Ning, Samaan, Nader A., and Werts, Brant. Thu . "Load Aggregation Methods for Quasi-Static Power Flow Analysis on High PV Penetration Feeders". United States. doi:10.1109/TDC.2018.8440485.
@article{osti_1512753,
title = {Load Aggregation Methods for Quasi-Static Power Flow Analysis on High PV Penetration Feeders},
author = {Wang, Jiyu and Zhu, Xiangqi and Lubkeman, David L. and Lu, Ning and Samaan, Nader A. and Werts, Brant},
abstractNote = {This paper focuses on developing load aggregation methodologies for analyzing quasi-static power flows on high photovoltaic penetrated distribution feeders so statistics of the transformer loading levels, voltage ramping events, and voltage violation events can be properly quantified. A load profile aggregation algorithm is presented to construct 24-hour, minute-by-minute load profiles at each load node on the test feeder so the aggregation of those load profiles matches the load profile measured at the feeder head. A quasi-static power flow analyses are conducted to obtain minute-by-minute power flow results that can be used to quantify transformer overloads and voltage issues in distribution systems. To demonstrate the effectiveness of the developed methodology, the IEEE-123 test feeder model and residential load profiles collected from the PECAN street project are used in the case studies. Simulation results show that the method is effective in producing the required operation statistics.},
doi = {10.1109/TDC.2018.8440485},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {8}
}

Conference:
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