Developing High PV Penetration Cases for Frequency Response Study of U.S. Western Interconnection
Abstract
Recent large penetrations of solar photovoltaic (PV) generation and the inertial characteristics of inverter-based generation technologies have caught the attention of those in the electric power industry in the United States. This paper presents a systematic approach to developing test cases of high penetrations of PV for the Western Interconnection. First, to examine the accuracy of the base case model, the Western Electricity Coordinating Council (WECC) model is validated by using measurement data from synchronized phasor measurement units. Based on the 2022 Light Spring case, we developed four high PV penetration cases for the WECC system that are of interest to the industry: 5% PV+15 % wind, 25% PV+15% wind, 45% PV+15% wind, 65% PV+15% wind). Additionally, a method to project PV is proposed that is based on collected, realistic PV distribution information, including the current and future PV power plant locations and penetrations in the WECC system. Both the utility-scale PV plant and residential rooftop PV are included in this study.
- Authors:
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- OSTI Identifier:
- 1365694
- Report Number(s):
- NREL/CP-5D00-68730
- DOE Contract Number:
- AC36-08GO28308
- Resource Type:
- Conference
- Resource Relation:
- Conference: Presented at the 2017 Ninth Annual IEEE Green Technologies Conference (GreenTech), 29-31 March 2017, Denver, Colorado
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; WECC; high PV penetration; PV projection; frequency response
Citation Formats
Tan, Jin, Zhang, Yingchen, Veda, Santosh, Elgindy, Tarek, and Liu, Yilu. Developing High PV Penetration Cases for Frequency Response Study of U.S. Western Interconnection. United States: N. p., 2017.
Web. doi:10.1109/GreenTech.2017.51.
Tan, Jin, Zhang, Yingchen, Veda, Santosh, Elgindy, Tarek, & Liu, Yilu. Developing High PV Penetration Cases for Frequency Response Study of U.S. Western Interconnection. United States. https://doi.org/10.1109/GreenTech.2017.51
Tan, Jin, Zhang, Yingchen, Veda, Santosh, Elgindy, Tarek, and Liu, Yilu. 2017.
"Developing High PV Penetration Cases for Frequency Response Study of U.S. Western Interconnection". United States. https://doi.org/10.1109/GreenTech.2017.51.
@article{osti_1365694,
title = {Developing High PV Penetration Cases for Frequency Response Study of U.S. Western Interconnection},
author = {Tan, Jin and Zhang, Yingchen and Veda, Santosh and Elgindy, Tarek and Liu, Yilu},
abstractNote = {Recent large penetrations of solar photovoltaic (PV) generation and the inertial characteristics of inverter-based generation technologies have caught the attention of those in the electric power industry in the United States. This paper presents a systematic approach to developing test cases of high penetrations of PV for the Western Interconnection. First, to examine the accuracy of the base case model, the Western Electricity Coordinating Council (WECC) model is validated by using measurement data from synchronized phasor measurement units. Based on the 2022 Light Spring case, we developed four high PV penetration cases for the WECC system that are of interest to the industry: 5% PV+15 % wind, 25% PV+15% wind, 45% PV+15% wind, 65% PV+15% wind). Additionally, a method to project PV is proposed that is based on collected, realistic PV distribution information, including the current and future PV power plant locations and penetrations in the WECC system. Both the utility-scale PV plant and residential rooftop PV are included in this study.},
doi = {10.1109/GreenTech.2017.51},
url = {https://www.osti.gov/biblio/1365694},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu May 11 00:00:00 EDT 2017},
month = {Thu May 11 00:00:00 EDT 2017}
}