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Title: Fuzzy Energy and Reserve Co-optimization With High Penetration of Renewable Energy

Abstract

In this study, we propose a fuzzy-based energy and reserve co-optimization model with consideration of high penetration of renewable energy. Under the assumption of a fixed uncertainty set of renewables, a two-stage robust model is proposed for clearing energy and reserves in the first stage and checking the feasibility and robustness of re-dispatches in the second stage. Fuzzy sets and their membership functions are introduced into the optimization model to represent the satisfaction degree of the variable uncertainty sets. The lower bound of the uncertainty set is expressed as fuzzy membership functions. The solutions are obtained by transforming the fuzzy mathematical programming formulation into traditional mixed integer linear programming problems.

Authors:
 [1];  [2];  [2];  [1]
  1. Electric Reliability Council of Texas, Taylor, TX (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
OSTI Identifier:
1373753
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Sustainable Energy
Additional Journal Information:
Journal Volume: 8; Journal Issue: 2; Journal ID: ISSN 1949-3029
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; fuzzy set; economic dispatch; interval programming; renewables; reserve; unit commitment

Citation Formats

Liu, Cong, Botterud, Audun, Zhou, Zhi, and Du, Pengwei. Fuzzy Energy and Reserve Co-optimization With High Penetration of Renewable Energy. United States: N. p., 2016. Web. doi:10.1109/TSTE.2016.2610948.
Liu, Cong, Botterud, Audun, Zhou, Zhi, & Du, Pengwei. Fuzzy Energy and Reserve Co-optimization With High Penetration of Renewable Energy. United States. https://doi.org/10.1109/TSTE.2016.2610948
Liu, Cong, Botterud, Audun, Zhou, Zhi, and Du, Pengwei. Fri . "Fuzzy Energy and Reserve Co-optimization With High Penetration of Renewable Energy". United States. https://doi.org/10.1109/TSTE.2016.2610948. https://www.osti.gov/servlets/purl/1373753.
@article{osti_1373753,
title = {Fuzzy Energy and Reserve Co-optimization With High Penetration of Renewable Energy},
author = {Liu, Cong and Botterud, Audun and Zhou, Zhi and Du, Pengwei},
abstractNote = {In this study, we propose a fuzzy-based energy and reserve co-optimization model with consideration of high penetration of renewable energy. Under the assumption of a fixed uncertainty set of renewables, a two-stage robust model is proposed for clearing energy and reserves in the first stage and checking the feasibility and robustness of re-dispatches in the second stage. Fuzzy sets and their membership functions are introduced into the optimization model to represent the satisfaction degree of the variable uncertainty sets. The lower bound of the uncertainty set is expressed as fuzzy membership functions. The solutions are obtained by transforming the fuzzy mathematical programming formulation into traditional mixed integer linear programming problems.},
doi = {10.1109/TSTE.2016.2610948},
journal = {IEEE Transactions on Sustainable Energy},
number = 2,
volume = 8,
place = {United States},
year = {Fri Oct 21 00:00:00 EDT 2016},
month = {Fri Oct 21 00:00:00 EDT 2016}
}

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Load Resources to Provide Primary Frequency Reserve Service
book, January 2019