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:
-
- Electric Reliability Council of Texas, Taylor, TX (United States)
- 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}
}
Web of Science
Works referencing / citing this record:
Load Resources to Provide Primary Frequency Reserve Service
book, January 2019
- Du, Pengwei; Lu, Ning; Zhong, Haiwang
- Demand Response in Smart Grids, p. 195-230