Convex Relaxation Conditions of Optimal Power Flow for Radial Microgrids

被引：0

作者：

Xia, Guofeng ^{[1
]}

Yang, Geng ^{[1
]}

Geng, Hua ^{[1
]}

机构：

[1] Tsinghua Univ, Automat Dept, Beijing, Peoples R China

来源：

2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019) | 2019年

关键词：

optimal power flow; convex relaxation condition; dispatching; power grid; branch flow model;

D O I：

暂无

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：

Branch flow model is a scheduling model considering power flow. It is nonconvex and NP-hard. In order to solve the model quickly and convergently, we can relax the model into a convex optimization model by using the convex relaxation strategy. In this paper, we propose that under certain conditions, the two models before and after convex relaxation can be guaranteed to have the same optimal solution. So we can solve the convex optimization model which is easier to solve.

引用

页码：3238 / 3243

页数：6

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