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Hou Y.-H.,Tianjin University | Fang D.-Z.,Tianjin University | Qi J.,Inner Mongolia Power Dispatching and Communication Center | Li H.-B.,Inner Mongolia Electrical Power Research Institute | And 2 more authors.
Dianwang Jishu/Power System Technology | Year: 2010

It is very important for the guidance of power grid operation and management to analyze the characteristics of active power of large-scale grid-connected wind farm and find out its variation law. Based on the recorded real-time operation data of large-scale wind farm connected with Inner Mongolia power grid in past two years and utilizing the methods of probabilistic statistical analysis and time series analysis, the fluctuation characteristics of active power generated by wind farm is analyzed, and its variation law as well as various factors impacting power grid operation are searched. According to the results from research and analysis, the key factors impacting the wind power capacity injected into power grid are found, and active power characteristics of power grid, which reveal after injecting different capacity of wind power into power grid, are summarized.


Bai Y.,Tianjin University | Fang D.,Tianjin University | Hou Y.,Tianjin University | Zhu C.,Inner Mongolia Power Dispatching and Communication Center
Dianwang Jishu/Power System Technology | Year: 2010

Distributed architecture is adopted in regional wind power prediction system for Inner Mongolia Power Grid, which consists of numerical weather prediction system and wind power forecasting system. The wind power forecasting is based on numerical prediction mode and statistical forecasting model of wind power. Using MM5 mesosale numerical whether prediction mode, the rolling forecasting of wind speeds, wind directions, temperatures, humidity and air pressure at different altitudes in future 48 hours as well as precipitation in the regions where wind farms locate is performed, and the horizontal resolution of computational grid is 9 km. According to the theory of analogy model and adopting artificial neural network, a regional wind power forecasting model is built, thus the short-term and ultra-short-term wind power forecasting for single wind farm and wind farm groups within a particular region as well as for whole power grid are implemented.


Zhao L.-G.,Tianjin University | Fang D.-Z.,Tianjin University | Kong X.-Y.,Tianjin University | Hou Y.-H.,Inner Mongolia Power Dispatching and Communication Center
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | Year: 2012

A reactive power control strategy is proposed for reactive power balance and voltage stability of wind farms. The control objective is to maintain reactive power exchange between wind farm and the grid at a specific value. To achieve the control target, both SVC installed in wind farm and the reactive power adjustment ability of Doubly Fed Induction Generator (DFIG) are used. In addition, a method is proposed to determine the adjusting order of DFIGs according to the sensitivity of the reactive power output of wind turbines in different locations to the output reactive power of export bus, in which the total output reactive power of DFIGs could be less. Finally, the effectiveness of the control strategy is verified by using the operation data of a wind farm in Inner Mongolia.

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