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Title: Extended-Term Dynamic Simulations with High Penetrations of Photovoltaic Generation.

Abstract

The uncontrolled intermittent availability of renewable energy sources makes integration of such devices into today's grid a challenge. Thus, it is imperative that dynamic simulation tools used to analyze power system performance are able to support systems with high amounts of photovoltaic (PV) generation. Additionally, simulation durations expanding beyond minutes into hours must be supported. This report aims to identify the path forward for dynamic simulation tools to accom- modate these needs by characterizing the properties of power systems (with high PV penetration), analyzing how these properties affect dynamic simulation software, and offering solutions for po- tential problems. We present a study of fixed time step, explicit numerical integration schemes that may be more suitable for these goals, based on identified requirements for simulating high PV penetration systems. We also present the alternative of variable time step integration. To help determine the characteristics of systems with high PV generation, we performed small signal sta- bility studies and time domain simulations of two representative systems. Along with feedback from stakeholders and vendors, we identify the current gaps in power system modeling including fast and slow dynamics and propose a new simulation framework to improve our ability to model and simulate longer-termmore » dynamics.« less

Authors:
 [1];  [1];  [2];  [3]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Montana Tech., Butte, MT (United States)
  3. GE Energy, Schenectady, NY (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1234480
Report Number(s):
SAND-2016-0065
617554
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY

Citation Formats

Concepcion, Ricky James, Elliott, Ryan Thomas, Donnelly, Matt, and Sanchez-Gasca, Juan. Extended-Term Dynamic Simulations with High Penetrations of Photovoltaic Generation.. United States: N. p., 2016. Web. doi:10.2172/1234480.
Concepcion, Ricky James, Elliott, Ryan Thomas, Donnelly, Matt, & Sanchez-Gasca, Juan. Extended-Term Dynamic Simulations with High Penetrations of Photovoltaic Generation.. United States. https://doi.org/10.2172/1234480
Concepcion, Ricky James, Elliott, Ryan Thomas, Donnelly, Matt, and Sanchez-Gasca, Juan. 2016. "Extended-Term Dynamic Simulations with High Penetrations of Photovoltaic Generation.". United States. https://doi.org/10.2172/1234480. https://www.osti.gov/servlets/purl/1234480.
@article{osti_1234480,
title = {Extended-Term Dynamic Simulations with High Penetrations of Photovoltaic Generation.},
author = {Concepcion, Ricky James and Elliott, Ryan Thomas and Donnelly, Matt and Sanchez-Gasca, Juan},
abstractNote = {The uncontrolled intermittent availability of renewable energy sources makes integration of such devices into today's grid a challenge. Thus, it is imperative that dynamic simulation tools used to analyze power system performance are able to support systems with high amounts of photovoltaic (PV) generation. Additionally, simulation durations expanding beyond minutes into hours must be supported. This report aims to identify the path forward for dynamic simulation tools to accom- modate these needs by characterizing the properties of power systems (with high PV penetration), analyzing how these properties affect dynamic simulation software, and offering solutions for po- tential problems. We present a study of fixed time step, explicit numerical integration schemes that may be more suitable for these goals, based on identified requirements for simulating high PV penetration systems. We also present the alternative of variable time step integration. To help determine the characteristics of systems with high PV generation, we performed small signal sta- bility studies and time domain simulations of two representative systems. Along with feedback from stakeholders and vendors, we identify the current gaps in power system modeling including fast and slow dynamics and propose a new simulation framework to improve our ability to model and simulate longer-term dynamics.},
doi = {10.2172/1234480},
url = {https://www.osti.gov/biblio/1234480}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 2016},
month = {Fri Jan 01 00:00:00 EST 2016}
}