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

被引：29

作者：

Liu, Cong ^{[1
]}

Botterud, Audun ^{[2
]}

Zhou, Zhi ^{[2
]}

Du, Pengwei ^{[1
]}

机构：

[1] Elect Reliabil Council Texas, Taylor, TX 76574 USA

[2] Argonne Natl Lab, Energy Syst Div, 9700 S Cass Ave, Argonne, IL 60439 USA

来源：

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY | 2017年 / 8卷 / 02期

关键词：

Economic dispatch; fuzzy set; interval programming; reserve; renewables; unit commitment; UNIT COMMITMENT;

D O I：

10.1109/TSTE.2016.2610948

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper, we propose a fuzzy-based energy and reserve co-optimization modelwith 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.

引用

页码：782 / 791

页数：10

共 25 条

[1] A FUZZY - BASED OPTIMAL REACTIVE POWER-CONTROL [J].