Self-scheduling of a wind producer based on Information Gap Decision Theory

被引：47
|
作者：
Moradi-Dalvand, M. [1 ]
Mohammadi-Ivatloo, B. [2 ]
Amjady, N. [3 ]
Zareipour, H. [4 ]
Mazhab-Jafari, A. [4 ]
机构：
[1] Shahid Beheshti Uinvers, Abbaspour Tech Coll, Dept Elect & Comp Engn, Tehran, Iran
[2] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran
[3] Semnan Univ, Dept Elect Engn, Semnan, Iran
[4] Univ Calgary, Dept Elect & Comp Engn, Power & Energy Syst Grp, Calgary, AB T2N 1N4, Canada
来源：
ENERGY | 2015年 / 81卷
关键词：
IGDT (Information-Gap Decision Theory); Electricity markets; Self-scheduling; Uncertainty; Wind producer; ECONOMIC EMISSION DISPATCH; ELECTRICITY MARKET; COMPOSITE GENERATION; ENERGY; POWER; UNCERTAINTY; INTEGRATION; LOAD; TIME;
D O I：
10.1016/j.energy.2015.01.002
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
In a competitive market where all producers must participate in the market, WPPs (wind power producers) face two sources of uncertainty: (i) future market prices, and (ii) their production capability in coming hours. In this paper a risk-constrained optimal self-scheduling method for a WPP considering the uncertainty associated with market prices and wind generation is proposed. IGDT (Information Gap Decision Theory) is used to address theses uncertainties in WPP's self-scheduling. The proposed IGDT-based model is a bilevel programming approach, which is transformed to an equivalent single level bilinear programming model that can be solved using available solvers. Numerical simulations and discussions are provided. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码：588 / 600
页数：13
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