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Fast security risk assessment of the power system with wind power penetration
Security risk assessment difficulties brought about by uncertainties can be solved by probabilistic power flow. A security risk assessment scheme of the power system using fast probabilistic power flow is proposed in this paper. The scheme applied probabilistic power flow on fast decoupled power flow model, considering multi-scenario of wind power and static characteristics of power systems, gaining the probabilistic distribution information of each desired variable by improved Von Mises method based on cumulants. Besides voltages and branch flows, the scheme can also obtain the distribution of frequency to assess the power system completely, which is not concerned in conventional probabilistic power flow calculation. The proposed algorithm was realized by programming based on Matpower 4.0. The examples executed on IEEE RTS-24 system demonstrate the rapidity, validity, and prospect for online application of the proposed scheme.
Fast security risk assessment of the power system with wind power penetration
Security risk assessment difficulties brought about by uncertainties can be solved by probabilistic power flow. A security risk assessment scheme of the power system using fast probabilistic power flow is proposed in this paper. The scheme applied probabilistic power flow on fast decoupled power flow model, considering multi-scenario of wind power and static characteristics of power systems, gaining the probabilistic distribution information of each desired variable by improved Von Mises method based on cumulants. Besides voltages and branch flows, the scheme can also obtain the distribution of frequency to assess the power system completely, which is not concerned in conventional probabilistic power flow calculation. The proposed algorithm was realized by programming based on Matpower 4.0. The examples executed on IEEE RTS-24 system demonstrate the rapidity, validity, and prospect for online application of the proposed scheme.
Fast security risk assessment of the power system with wind power penetration
Duan, Yao (author) / Zhang, Buhan (author) / Liu, Yifang (author)
2014-09-01
13 pages
Article (Journal)
Electronic Resource
English
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