Multi-scenario Generation and Transmission Expansion Planning Considering Load Spatial Distribution

被引:0
|
作者
Hong, Shaoyun [1 ]
Cheng, Haozhong [1 ]
Huang, Lina [2 ]
Zhang, Jianping [3 ]
Lu, Jianzhong [3 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China
[2] Jiangxi Planning & Designing Inst Post & Telecomm, Nanchang, Peoples R China
[3] East China Grid Co Ltd, Shanghai, Peoples R China
来源
2016 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2016年
关键词
mixed integer linear programming; K-means cluster; power system economics; generation expansion planning; transmission expansion planning; WIND POWER; MODELS; SYSTEMS;
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
Future generation expansion has significant impact on transmission expansion planning, the paper proposes a mathematical model for multi-scenario generation and transmission expansion planning (MGTEP). This model is formulated for mixed integer linear programming (MILP) by the approach of disjunctive direct current power flow of existing and candidate lines, thus it can be solved by mature optimization software. Traditional expansion planning disregards temporal and spatial distribution of load and wind power. In order to consider spatial distribution of load and wind power, K-means cluster is applied to the calculation of scenarios of load and wind power. Finally case studies with Garver-6 bus system and IEEE-RTS-24 bus system validate the computational effectiveness of MGTEP and these numerical results demonstrate it is more comprehensive to MGTEP considering load spatial distribution.
引用
收藏
页数:5
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