Probabilistic Analysis of Small-Signal Rotor Angle/Voltage Stability of Large-Scale AC/DC Power Systems as Affected by Grid-Connected Offshore Wind Generation
被引:63
作者:
Bu, S. Q.
论文数: 0引用数: 0
h-index: 0
机构:
Queens Univ Belfast, Belfast, Antrim, North IrelandQueens Univ Belfast, Belfast, Antrim, North Ireland
Bu, S. Q.
[1
]
Du, W.
论文数: 0引用数: 0
h-index: 0
机构:
Northern China Elect Power Univ, Sch Elect & Elect Engn, Beijing, Peoples R ChinaQueens Univ Belfast, Belfast, Antrim, North Ireland
Du, W.
[2
]
Wang, H. F.
论文数: 0引用数: 0
h-index: 0
机构:
Northern China Elect Power Univ, Sch Elect & Elect Engn, Beijing, Peoples R ChinaQueens Univ Belfast, Belfast, Antrim, North Ireland
Wang, H. F.
[2
]
机构:
[1] Queens Univ Belfast, Belfast, Antrim, North Ireland
[2] Northern China Elect Power Univ, Sch Elect & Elect Engn, Beijing, Peoples R China
Gram-Charlier expansion;
Monte Carlo simulation;
multi-point linearization;
participation factor;
power system probabilistic small-signal rotor angle/voltage stability;
probabilistic density function (PDF);
wind power generation;
VSC MTDC MODEL;
PERFORMANCE;
D O I:
10.1109/TPWRS.2013.2265712
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
080906 [电磁信息功能材料与结构];
082806 [农业信息与电气工程];
摘要:
This paper investigates the probabilistic small-signal rotor angle/voltage stability of an AC/DC power system to which offshore wind generation is connected through a multi-terminal HVDC (MTDC) network. The paper applies an analytical method based on multi-point linearization to improve the accuracy of assessment of system probabilistic stability. It proposes to examine the probabilistic small-signal voltage stability of the AC/DC power system as the voltage stability is always a concern of HVDC network. The participation factor is then employed to further analyze this phenomenon and give effective remedial measures. In the paper, an example of 16-machine AC/DC power system to which three offshore wind farms is connected through aN MTDC network is presented. The proposed method in the paper is compared with the conventional Gram-Charlier expansion-based method and the nonlinear Monte Carlo simulation.