Yunnan Power Grid Corporation CSG

Kunming, China

Yunnan Power Grid Corporation CSG

Kunming, China

Time filter

Source Type

Pan X.,North China Electrical Power University | Sun D.,North China Electrical Power University | Liu Y.,North China Electrical Power University | Fan Y.,North China Electrical Power University | And 2 more authors.
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2015

To study the uncertainty of power system transient stability with grid-connected wind power in the process of power grid planning, Kriging surrogate model was proposed in this paper. The random and correlative wind speed predicted by the third order polynomial normal transformation method based on probability weighted moments was regarded as stochastic input. For each input, transient time-domain simulation was performed to obtain the stochastic response. Kriging surrogate model could be established to display the implicit function between stochastic input and response. Compared with Monte Carlo method, Kriging surrogate model can get the response statistics more quickly when the calculation times are the same. The case studying on IEEE 39-bus system verifies the effectiveness, accuracy and efficiency of the method adopted. The case studying on Yunnan power grid system verifies the practicability of the method to the actual system. Meanwhile it shows that the random wind speed can cause uncertainty of the system response and have certain influence on safe and stable operation of the power system. © 2015 Chin. Soc. for Elec. Eng.


Pan X.,North China Electrical Power University | Liu W.,North China Electrical Power University | Xu Y.,North China Electrical Power University | Zhang H.,Yunnan Power Grid Corporation CSG | And 2 more authors.
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2013

To analyze the transient stability of power system integrated with wind farm groups, this paper applied stochastic response surface method (SRSM) to compute system's transient stability. This method regards power system as a black box and builds wind farm group models by Nataf technology. It established polynomial relationship between transient stochastic response and correlative wind speed. Compared with the traditional approaches, such as Monte Carlo, SRSM can solve problems that they are facing, like more number of calculation times, long simulation time and need of large memory space. The case study on the IEEE 10-machine and 39-bus system showed the effectiveness and applicability of the method which combined Nataf and SRSM. Simulation results on IEEE 50-machine and 145-bus system show that wind farm groups' correlative wind speed has certain effect on system's transient stability and thus influences the safe and stable operation of power systems.

Loading Yunnan Power Grid Corporation CSG collaborators
Loading Yunnan Power Grid Corporation CSG collaborators