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Title: Validating Performance Models for Hybrid Power Plant Control Assessment

Abstract

The need for simple, but accurate performance models of wind turbine generators (WTGs), photovoltaic (PV) plants, and battery energy storage systems (BESS) for various hybrid power plant (HPP) studies motivates the present work. Particularly, the development and verification stage of HPP controls requires reduced-order models to minimize the complexity and computation effort of simulation platforms. In this paper, such models are proposed, and the most essential parts of the models are validated through field measurements. The models target power system integration studies involving active and reactive power, as well as frequency and voltage regulation where detailed models, as proposed in the standards, can be cumbersome. Field measurements of two Vestas WTGs, one 1-MW PV plant, and one 1-MW/1-MWh BESS are used for model validation. The results show that the WTG and PV performance models correctly estimate the power generation variability according to fluctuations in wind speed and solar irradiance. The BESS performance model provides satisfactory results related to grid-forming control performance and estimation of state-of-charge. The presented validation work enables using the proposed performance models for power system studies and HPP control design in all model-based design stages, that is, preliminary analysis, design, verification, and validation with a high levelmore » of confidence.« less

Authors:
 [1];  [2];  [3];  [4]; ORCiD logo [4]; ORCiD logo [2]
+ Show Author Affiliations
  1. Aalborg Univ., Aalborg (Denmark); Vestas Wind Systems, Aarhus (Denmark)
  2. Aalborg Univ., Aalborg (Denmark)
  3. Vestas Wind Systems, Aarhus (Denmark)
  4. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Laboratory (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:
1576485
Report Number(s):
NREL/JA-5D00-75364
Journal ID: ISSN 1996-1073; ENERGA
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Energies
Additional Journal Information:
Journal Volume: 12; Journal Issue: 22; Journal ID: ISSN 1996-1073
Publisher:
MDPI AG
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; hybrid power plant; wind power; solar photovoltaic; battery storage; performance models; control assessment; model-based design; validation

Citation Formats

Petersen, Lennart, Iov, Florin, Tarnowski, German Claudio, Gevorgian, Vahan, Koralewicz, Przemyslaw J., and Stroe, Daniel -Ioan. Validating Performance Models for Hybrid Power Plant Control Assessment. United States: N. p., 2019. Web. doi:10.3390/en12224330.
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Petersen, Lennart, Iov, Florin, Tarnowski, German Claudio, Gevorgian, Vahan, Koralewicz, Przemyslaw J., & Stroe, Daniel -Ioan. Validating Performance Models for Hybrid Power Plant Control Assessment. United States. https://doi.org/10.3390/en12224330
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Petersen, Lennart, Iov, Florin, Tarnowski, German Claudio, Gevorgian, Vahan, Koralewicz, Przemyslaw J., and Stroe, Daniel -Ioan. Wed . "Validating Performance Models for Hybrid Power Plant Control Assessment". United States. https://doi.org/10.3390/en12224330. https://www.osti.gov/servlets/purl/1576485.
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@article{osti_1576485,
title = {Validating Performance Models for Hybrid Power Plant Control Assessment},
author = {Petersen, Lennart and Iov, Florin and Tarnowski, German Claudio and Gevorgian, Vahan and Koralewicz, Przemyslaw J. and Stroe, Daniel -Ioan},
abstractNote = {The need for simple, but accurate performance models of wind turbine generators (WTGs), photovoltaic (PV) plants, and battery energy storage systems (BESS) for various hybrid power plant (HPP) studies motivates the present work. Particularly, the development and verification stage of HPP controls requires reduced-order models to minimize the complexity and computation effort of simulation platforms. In this paper, such models are proposed, and the most essential parts of the models are validated through field measurements. The models target power system integration studies involving active and reactive power, as well as frequency and voltage regulation where detailed models, as proposed in the standards, can be cumbersome. Field measurements of two Vestas WTGs, one 1-MW PV plant, and one 1-MW/1-MWh BESS are used for model validation. The results show that the WTG and PV performance models correctly estimate the power generation variability according to fluctuations in wind speed and solar irradiance. The BESS performance model provides satisfactory results related to grid-forming control performance and estimation of state-of-charge. The presented validation work enables using the proposed performance models for power system studies and HPP control design in all model-based design stages, that is, preliminary analysis, design, verification, and validation with a high level of confidence.},
doi = {10.3390/en12224330},
journal = {Energies},
number = 22,
volume = 12,
place = {United States},
year = {Wed Nov 13 00:00:00 EST 2019},
month = {Wed Nov 13 00:00:00 EST 2019}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.3390/en12224330
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Cited by: 7 works
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Figures / Tables:

Figure 1 Figure 1: Interface between distributed energy resource (DER) performance models, grid model, and plant/grid operator model.
All figures and tables (22 total)
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Works referenced in this record:

Impact of Dynamic Behavior of Photovoltaic Power Generation Systems on Short-Term Voltage Stability
journal, November 2015

System Reduction of Power System with Penetration of Photovoltaic Generations
journal, June 2014

  • Chinuki, Tomoyuki; Taniguchi, Haruhito; Nakajima, Tatsuhito
  • Electrical Engineering in Japan, Vol. 188, Issue 4
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Power output fluctuations in large scale pv plants: One year observations with one second resolution and a derived analytic model
journal, July 2010

  • Marcos, Javier; Marroyo, Luis; Lorenzo, Eduardo
  • Progress in Photovoltaics: Research and Applications, Vol. 19, Issue 2
  • DOI: 10.1002/pip.1016

From irradiance to output power fluctuations: the PV plant as a low pass filter
journal, January 2011

  • Marcos, Javier; Marroyo, Luis; Lorenzo, Eduardo
  • Progress in Photovoltaics: Research and Applications, Vol. 19, Issue 5
  • DOI: 10.1002/pip.1063

State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles
journal, July 2018

  • Zhang, Ruifeng; Xia, Bizhong; Li, Baohua
  • Energies, Vol. 11, Issue 7
  • DOI: 10.3390/en11071820

A Novel Control Architecture for Hybrid Power Plants to Provide Coordinated Frequency Reserves
journal, March 2019

  • Vázquez Pombo, Daniel; Iov, Florin; Stroe, Daniel-Ioan
  • Energies, Vol. 12, Issue 5
  • DOI: 10.3390/en12050919

Control of Power Converters in AC Microgrids
journal, November 2012

  • Rocabert, Joan; Luna, Alvaro; Blaabjerg, Frede
  • IEEE Transactions on Power Electronics, Vol. 27, Issue 11
  • DOI: 10.1109/TPEL.2012.2199334

Sizing of an Energy Storage System for Grid Inertial Response and Primary Frequency Reserve
journal, September 2016

  • Knap, Vaclav; Chaudhary, Sanjay K.; Stroe, Daniel-Ioan
  • IEEE Transactions on Power Systems, Vol. 31, Issue 5
  • DOI: 10.1109/TPWRS.2015.2503565

Impact of dynamic behavior of photovoltaic power generation systems on short-term voltage stability
conference, July 2016

System Reduction of Power System with Penetration of Photovoltaic Generations
journal, January 2013

  • Chinuki, Tomoyuki; Taniguchi, Haruhito; Nakajima, Tatsuhito
  • IEEJ Transactions on Power and Energy, Vol. 133, Issue 3
  • DOI: 10.1541/ieejpes.133.237

Influence of resolution of the input data on distributed generation integration studies
conference, May 2014

  • Ciontea, Catalin I.; Sera, Dezso; Iov, Florin
  • 2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)
  • DOI: 10.1109/optim.2014.6851007
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    Figures / Tables found in this record:

    Figure 1 (p. 4)figure
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    Table 1 (p. 12)table
    Figure 7 (p. 13)figure
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    Table 2 (p. 15)table
    Figure 10 (p. 16)figure
    Figure 11 (p. 17)figure
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    Figure 13 (p. 18)figure
    Table 3 (p. 18)table
    Figure 14 (p. 19)figure
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    Figure 19 (p. 22)figure
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