Power System Evolutionary Planning Based on LHS-kmeans Method for Generating Future Load Scenarios

被引：0
|
作者：
Wang, Zesen [1 ]
Li, Xin [2 ]
Xia, Ye [3 ]
Zhao, Tianqi [1 ]
Xia, Xue [1 ]
Li, Yu [1 ]
机构：
[1] State Grid Jibei Elect Power Res Inst, Power Grid Technol Ctr, Beijing, Peoples R China
[2] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
[3] China Elect Power Res Inst, State Grid Secondary Equipment Evaluat Ctr, Beijing, Peoples R China
来源：
2021 3RD INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS (SPIES 2021) | 2021年
关键词：
LHS; Load scenarios; cluster; power system planning; wind power; PROGRAMMING APPROACH; MANAGEMENT;
D O I：
10.1109/SPIES52282.2021.9633902
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：
Due to load fluctuations, it is difficult for the power system to completely rely on wind power to meet the load demand. Based on the use of LHS-Kmeans to obtain more accurate future load scenarios, the ieee6 node model is selected for power system planning and modeling for the next forty years, and Cplex is used to solve the future power system development results. The results show that although a large amount of wind power has been put into use and has grown year by year, it occupies a very high proportion of the overall power system. As the level of system fluctuations decreases, the proportion of thermal power output can be further reduced, but it still needs to be maintained at a certain level.
引用
收藏
页码：381 / 385
页数：5
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