Adaptive robust AC optimal power flow considering load and wind power uncertainties

被引:43
|
作者
Attarha, Ahmad [1 ]
Amjady, Nima [1 ]
Conejo, Antonio J. [2 ]
机构
[1] Semnan Univ, Dept Elect Engn, Semnan, Iran
[2] Ohio State Univ, ISE & ECE Dept, Columbus, OH 43210 USA
基金
美国国家科学基金会;
关键词
ACOPF; Adaptive robust optimization; Budget of uncertainty; Initialization; Wind power; UNIT COMMITMENT; OPTIMIZATION;
D O I
10.1016/j.ijepes.2017.09.037
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a tri-level adaptive robust AC optimal power flow (AR-ACOPF) model incorporating wind units. The uncertain wind power production as well as the system demand are characterized in terms of bounded intervals forming a polyhedral uncertainty set. The proposed model is robust against any realization of uncertain parameters (Le. wind power production and system demand) within the uncertainty set. Also the robustness of the solutions is controlled through a parameter denominated budget of uncertainty. Since the proposed tri-level model is not solvable via an off-the-shelf optimization package, a decomposition strategy relying on primal and dual cuts is proposed to solve it. To reduce the computation burden of the proposed AR-ACOPF problem, an effective initialization process is also presented. The proposed AR-ACOPF model and solution approach are illustrated using the well-known IEEE 300-bus and Polish 2746-bus test systems.
引用
收藏
页码:132 / 142
页数:11
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