A Fast Optimization Method for the Distribution System with Energy Storage Based on Conic Programming

被引：0

作者：

Zhao, Jinli ^{[1
]}

Yu, Yingying ^{[1
]}

Li, Peng ^{[1
]}

Sun, Chongbo ^{[1
]}

Zhang, Nan ^{[1
]}

Song, Guanyu ^{[1
]}

Ding, Maosheng ^{[2
]}

机构：

[1] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin, Peoples R China

[2] State Grid Ningxia Elect Power Grid Co, Yinchuan, Peoples R China

来源：

2014 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (IEEE PES APPEEC) | 2014年

关键词：

distribution system; energy storage system; renewable energy source; conic programming; loss; OPTIMAL POWER-FLOW; GENERATION; MICROGRIDS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Application of energy storage system (ESS) has been a chance and challenge to distribution system operation and integration of renewable energy sources (RESs). A conic programming (CP) based method is proposed for the optimization of distribution system with ESS in this paper. Firstly, the operation optimization model considering the state of charge (SOC) of ESS is built to minimize the active power losses of distribution system with distributed generation (DG). Equivalent CP model is conversed based on the initial model as format required, which can be solved by some mature optimization tools. Finally, case studies show the feasibility as well as effectiveness of the proposed method.

引用

页数：5

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