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

Journal Article · Fri Oct 21 00:00:00 EDT 2016 · IEEE Transactions on Sustainable Energy

DOI:https://doi.org/10.1109/TSTE.2016.2610948· OSTI ID:1373753

Liu, Cong ^[1]; Botterud, Audun ^[2]; Zhou, Zhi ^[2]; Du, Pengwei ^[1]

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1. Electric Reliability Council of Texas, Taylor, TX (United States)
2. Argonne National Lab. (ANL), Argonne, IL (United States)

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.

• Research Organization: Argonne National Lab. (ANL), Argonne, IL (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
• Grant/Contract Number: AC02-06CH11357
• OSTI ID: 1373753
• Journal Information: IEEE Transactions on Sustainable Energy, Vol. 8, Issue 2; ISSN 1949-3029
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
fuzzy set
economic dispatch
interval programming
renewables
reserve
unit commitment