Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources

被引：11

作者：

Chen, Pengwei ^{[1
]}

Xiao, Xiangning ^{[2
]}

Wang, Xuhui ^{[3
]}

机构：

[1] North China Elect Power Univ, Beijing, Peoples R China

[2] North China Elect Power Univ, Elect Engn, Beijing, Peoples R China

[3] Hefei Univ Technol, Sch Math, Hefei, Anhui, Peoples R China

来源：

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY | 2019年 / 7卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Active distribution network; Optimal power flow; Interval uncertainty; Affine arithmetic; Second-order cone programming; DISTRIBUTION-SYSTEMS; CONVEX RELAXATION; MANAGEMENT; SOLVE;

D O I：

10.1007/s40565-018-0462-9

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：

Optimal power flow (OPF) has been used for energy dispatching in active distribution networks. To satisfy constraints fully and achieve strict operational bounds under the uncertainties from loads and sources, this paper derives an interval optimal power flow (I-OPF) method employing affine arithmetic and interval Taylor expansion. An enhanced I-OPF method based on successive linear approximation and second-order cone programming is developed to improve solution accuracy. The proposed methods are benchmarked against Monte Carlo simulation (MCS) and stochastic OPF. Tests on a modified IEEE 33-bus system and a real 113-bus distribution network validate the effectiveness and applicability of the proposed methods.

引用

页码：139 / 150

页数：12

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