Risk Assessment of Power Systems Integrated with Wind Farm and SMES
被引:0
作者:
Chen, Zhen
论文数: 0引用数: 0
h-index: 0
机构:
Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Peoples R ChinaSichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Peoples R China
Chen, Zhen
[1
]
Xiao, Xian Yong
论文数: 0引用数: 0
h-index: 0
机构:
Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Peoples R ChinaSichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Peoples R China
Xiao, Xian Yong
[1
]
Li, Chang Song
论文数: 0引用数: 0
h-index: 0
机构:
Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Peoples R ChinaSichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Peoples R China
Li, Chang Song
[1
]
机构:
[1] Sichuan Univ, Coll Elect Engn & Informat Technol, Chengdu 610065, Peoples R China
来源:
2015 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD)
|
2015年
关键词:
risk assessment;
SMES;
wind farm;
power system;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
This paper proposes a new risk assessment method for power systems integrated with wind farm and superconducting magnetic energy storage (SMES) device using sequential Monte-Carlo simulation. The SMES model is established considering the energy charging and discharging constraints and the capacity constraints. The operating strategies of the SMES are also proposed to determine the energy charging and discharging behaviors. The proposed method is applied to the IEEE-RTS, and the sensitivity analysis is performed to investigate the impact of SMES capacity and maximum charging/discharging power on the risk of power systems.