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Cui Y.,Northeast Dianli University | Liu J.,Northeast Dianli University | Yan G.,Northeast Dianli University | Tan Z.,Southern Offshore Wind Power Joint Development Co. | Xu G.,Jilin Electrical Power Dispatching Center
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | Year: 2014

The balance of power supply and demand will be destroyed by power fluctuation of large-scale grid-connected wind power system and the large-scale fluctuation of wind power can cause the frequency deviating over the limit. The traditional method based on step disturbance is no longer applicable because the capacity of single wind turbine is too small and wind power has strong stochastic fluctuation. In order to research the effect of power fluctuation of wind power system on the frequency of electric power system, the wind power fluctuation characteristics was described by t-location model, and the time series of wind power was simulated by the sequential of Monte Carlo method. Finally the impact of wind power fluctuation on the frequency of electric power system was simulated based on a regional power system. Source


Yang M.,Northeast Dianli University | Qi Y.,Northeast Dianli University | Sun Y.,Jilin Electrical Power Dispatching Center | Zheng T.-Y.,Jilin Electrical Power Dispatching Center | And 2 more authors.
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | Year: 2014

Wind power is fluctuating and intermittent. Large scale wind power integration has an adverse impact on the power grid operation. This paper analyzes the characteristics of wind power fluctuations. It takes the wind power data as digital signal to process, based on digital signal processing. By means of analyzing autocorrelation coefficient, we find that fluctuation has a certain periodicity. Day periodicity component is extracted though finite Fourier decomposition. From the energy point of view, day periodicity component distribution is analyzed in different time scales and different installed capacity. The proportion of the periodic component changs with time and space of wind power. The longer the time period, the periodic component proportion is smaller. Along with the increase of the number of wind farms, periodic component proportion will increase signigicantly. Source


Yan G.,Northeast Dianli University | Liu J.,Northeast Dianli University | Cui Y.,Northeast Dianli University | Mu G.,Northeast Dianli University | And 2 more authors.
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2013

Because of changes of weather, it is still a challenge to forecast wind power accurately. In the case of large wind farms connecting to grid, especially in high penetration condition, utilizing prediction information of wind power for scheduling decision directly will bring risks to power system. The energy storage system have the time shift capability with respect to power and energy, which is able to cope with the wind power prediction error effectively and ensure the security of the power system. However, constrained by the current technical and economic level, the cost of energy storage systems is still expensive. Thus, the feasibility of improving the wind power scheduling scale by the energy storage systems should be assessed from the view of the economy. To assess it, an economic assessment model of the energy storage system was built, and different probability interval forecast scenarios were constructed. Research results provide a theoretical reference for application of energy storage systems to improve wind power scheduling scale. © 2013 Chin. Soc. for Elec. Eng. Source


Zheng Y.J.,North China Electrical Power University | Xue A.,North China Electrical Power University | Wang Q.,North China Electrical Power University | Bi T.,North China Electrical Power University | And 3 more authors.
Asia-Pacific Power and Energy Engineering Conference, APPEEC | Year: 2013

Large-scale wind power will affect the transient stability of power system. This paper analyzes the difference of transient stability characteristic of power system with wind power with/without LVRT (low voltage ride through) ability. The power system with wind farm is established in Powerfactory/ DIgSILENT based on an actual wind power system. The voltage of DFIG stator with/without LVRT is theoretically compared and it shows that the LVRT could improve the voltage. And then, with different fault point or different output of wind power, comprehensive analysis on how the LVRT ability of wind farm affect the transient ability of power system is presented. Simulation results show that the wind farm with additional LVRT ability could improve the transient stability characteristics of near-end synchronous generator. Furthermore, with the increase of wind power penetration, which engaging the LVRT ability, the transient stability of the near-end synchronous generator is improved. © 2013 IEEE. Source

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