Stochastic DG Capacity Assessment for Active Distribution Networks Considering the Optimal Reactive DG Outputs and OLTC Operation

被引:0
作者
Wang, Xuanding [1 ]
Gao, Changzheng [2 ]
Wu, Wenchuan [1 ]
Chang, Xuefei [2 ]
Gao, Song [2 ]
机构
[1] Tsinghua, Dept Elect Engn, State Key Lab Power Syst, Beijing, Peoples R China
[2] State Grid Jilin Elect Power Corp, Elect Power Res Inst, Changchun, Jilin, Peoples R China
来源
2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2017年
关键词
Active distribution network; DG capacity assessment; OLTC; stochastic optimization; Monte-Carlo simulation; DIFFERENT LOAD MODELS; GENETIC ALGORITHM; IMPACT ASSESSMENT;
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
This paper proposed a method basing on the Monte-Carol simulation to deal with the stochastic DG (distributed generator) capacity assessment problem. In this work, a newly published OLTC(on-load tap-changer) linearization model is applied to the DG capacity assessment problem. And, how the OLTC and DG's reactive output affect the DG capacity assessment result is analyzed in the case study. By using Monte-Carlo simulation method, we can get the DG capacity assessment result in different sceneries and calculate the exact risk of solar energy abandon with certain DGs' capacity in ADN(active distribution network).
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页数:5
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