Load Uncertainty Based Transmission Network Expansion Planning

被引：0
作者：
Rathore, Chandrakant [1 ]
Roy, Ranjit [1 ]
机构：
[1] SV Natl Inst Technol, Dept Elect Engn, Surat, India
来源：
2013 3RD INTERNATIONAL CONFERENCE ON ELECTRIC POWER AND ENERGY CONVERSION SYSTEMS (EPECS) | 2013年
关键词：
Artificial bee colony algorithm; direct current (DC) model; interval; resizing; uncertainty; BEE COLONY ALGORITHM; SYSTEM;
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：
Transmission expansion planning (TEP) is more robust and reliable when it is able to tackle the uncertainty generated by load. In this, paper in order to handle the demand uncertainty a mathematical model is presented. In particular, the uncertainty of each bus load analyzes individually and is expressed in interval number. To solve the DC-Static transmission network expansion planning problem a meta-heuristic population based algorithm named Gbest Artificial Bee Colony (GABC) is proposed. Garver's 6-bus test system is used to simulate the proposed method and results shows that minimum investment cost can be found considering the uncertainty in demand.
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页数：6
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