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Title: The combined value of wind and solar power forecasting improvements and electricity storage

Abstract

As the penetration rates of variable renewable energy increase, the value of power systems operation flexibility technology options, such as renewable energy forecasting improvements and electricity storage, is also assumed to increase. In this work, we examine the value of these two technologies, when used independently and concurrently, for two real case studies that represent the generation mixes for the California and Midcontinent Independent System Operators (CAISO and MISO). Since both technologies provide additional system flexibility they reduce operational costs and renewable curtailment for both generation mixes under study. Interestingly, the relative impacts are quite similar when both technologies are used together. Though both flexibility options can solve some of the same issues that arise with high penetration levels of renewables, they do not seem to significantly increase or decrease the economic potential of the other technology.

Authors:
 [1];  [2];  [2];  [2];  [2];  [3]
+ Show Author Affiliations
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States); VTT Technical Research Centre (Finland)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  3. VTT Technical Research Centre (Finland)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1424890
Alternate Identifier(s):
OSTI ID: 1548743
Report Number(s):
NREL/JA-5D00-67979
Journal ID: ISSN 0306-2619
Grant/Contract Number:  
AC36-08GO28308; AC36-08-GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Applied Energy
Additional Journal Information:
Journal Volume: 214; Journal Issue: C; Journal ID: ISSN 0306-2619
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; 29 ENERGY PLANNING, POLICY, AND ECONOMY; wind power integration; solar power integration; wind power forecasting; solar power forecasting; power systems planning; electricity storage

Citation Formats

Hodge, Bri-Mathias, Brancucci Martinez-Anido, Carlo, Wang, Qin, Chartan, Erol, Florita, Anthony, and Kiviluoma, Juha. The combined value of wind and solar power forecasting improvements and electricity storage. United States: N. p., 2018. Web. doi:10.1016/j.apenergy.2017.12.120.
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Hodge, Bri-Mathias, Brancucci Martinez-Anido, Carlo, Wang, Qin, Chartan, Erol, Florita, Anthony, & Kiviluoma, Juha. The combined value of wind and solar power forecasting improvements and electricity storage. United States. https://doi.org/10.1016/j.apenergy.2017.12.120
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Hodge, Bri-Mathias, Brancucci Martinez-Anido, Carlo, Wang, Qin, Chartan, Erol, Florita, Anthony, and Kiviluoma, Juha. Mon . "The combined value of wind and solar power forecasting improvements and electricity storage". United States. https://doi.org/10.1016/j.apenergy.2017.12.120. https://www.osti.gov/servlets/purl/1424890.
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@article{osti_1424890,
title = {The combined value of wind and solar power forecasting improvements and electricity storage},
author = {Hodge, Bri-Mathias and Brancucci Martinez-Anido, Carlo and Wang, Qin and Chartan, Erol and Florita, Anthony and Kiviluoma, Juha},
abstractNote = {As the penetration rates of variable renewable energy increase, the value of power systems operation flexibility technology options, such as renewable energy forecasting improvements and electricity storage, is also assumed to increase. In this work, we examine the value of these two technologies, when used independently and concurrently, for two real case studies that represent the generation mixes for the California and Midcontinent Independent System Operators (CAISO and MISO). Since both technologies provide additional system flexibility they reduce operational costs and renewable curtailment for both generation mixes under study. Interestingly, the relative impacts are quite similar when both technologies are used together. Though both flexibility options can solve some of the same issues that arise with high penetration levels of renewables, they do not seem to significantly increase or decrease the economic potential of the other technology.},
doi = {10.1016/j.apenergy.2017.12.120},
journal = {Applied Energy},
number = C,
volume = 214,
place = {United States},
year = {Mon Feb 12 00:00:00 EST 2018},
month = {Mon Feb 12 00:00:00 EST 2018}
}
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Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.apenergy.2017.12.120
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Citation Metrics:
Cited by: 45 works
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Figures / Tables:

Table 1 Table 1: Thermal Generator Parameters for the CAISO Case
All figures and tables (21 total)
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Works referenced in this record:

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  • Wu, Lei; Shahidehpour, Mohammad; Li, Tao
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journal, May 2016

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journal, October 2016

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journal, March 2007

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journal, August 2016

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journal, November 2012

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journal, October 2010

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journal, November 2010

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journal, November 2011

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journal, August 2015

A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model
journal, March 2017

Joint Probability Distribution and Correlation Analysis of Wind and Solar Power Forecast Errors in the Western Interconnection
journal, March 2015

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    Works referencing / citing this record:

    Assessing the Techno-Economic Benefits of Flexible Demand Resources Scheduling for Renewable Energy–Based Smart Microgrid Planning
    journal, October 2019

    • Kiptoo, Mark Kipngetich; Adewuyi, Oludamilare Bode; Lotfy, Mohammed Elsayed
    • Future Internet, Vol. 11, Issue 10
    • DOI: 10.3390/fi11100219
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      Figures / Tables found in this record:

      Table 1 (p. 5)table
      Table 2 (p. 5)table
      Table 3 (p. 7)table
      Table 4 (p. 8)table
      Table 5 (p. 8)table
      Table 6 (p. 10)table
      Figure 1 (p. 11)figure
      Figure 2 (p. 12)figure
      Figure 3 (p. 13)figure
      Figure 4 (p. 14)figure
      Figure 5 (p. 15)figure
      Figure 6 (p. 17)figure
      Figure 7 (p. 18)figure
      Figure 8 (p. 19)figure
      Figure 9 (p. 20)figure
      Table 7 (p. 20)table
      Figure 10 (p. 22)figure
      Table 8 (p. 23)table
      Figure 11 (p. 24)figure
      Table 10 (p. 25)table
      Table 9 (p. 25)table
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