A Comparative Study of Preventive Security-Constrained Optimal Power Flow
被引:0
|
作者:
Che, Liang
论文数: 0引用数: 0
h-index: 0
机构:
Siemems, Minnetonka, MN 55305 USASiemems, Minnetonka, MN 55305 USA
Che, Liang
[1
]
Zhang, Xiaping
论文数: 0引用数: 0
h-index: 0
机构:
Peak Reliabil, Loveland, CO USASiemems, Minnetonka, MN 55305 USA
Zhang, Xiaping
[2
]
Li, Zhiyi
论文数: 0引用数: 0
h-index: 0
机构:
IIT, Chicago, IL 60616 USASiemems, Minnetonka, MN 55305 USA
Li, Zhiyi
[3
]
机构:
[1] Siemems, Minnetonka, MN 55305 USA
[2] Peak Reliabil, Loveland, CO USA
[3] IIT, Chicago, IL 60616 USA
来源:
2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM)
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2016年
关键词:
Security-constrained optimal power flow;
optimal power flow;
contingency analysis;
successive linear programming;
nonlinear programming;
PowerWorld;
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:
Security-constrained optimal power flow (SCOPF) is a vital analysis tool in power system operations and electricity markets. This paper presents a comparative study for OPF and SCOPF between two packages: a nonlinear programming algorithm in MATLAB and a successive linear programming in PowerWorld Simulator. Different OPF/SCOPF cases are implemented in the two packages and the results are compared. The reasons for the different results between the two packages are identified and PowerWorld's application in OPF is also discussed.
机构:
Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R ChinaTsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R China
Liu, Shudi
Guo, Ye
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R ChinaTsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R China
Guo, Ye
Tang, Wenjun
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R ChinaTsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R China
Tang, Wenjun
Sun, Hongbin
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R ChinaTsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R China
Sun, Hongbin
Huang, Wenqi
论文数: 0引用数: 0
h-index: 0
机构:
China Southern Power Grid, Digital Grid Res Inst, Guangzhou, Peoples R ChinaTsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R China
Huang, Wenqi
2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM),
2021,