This paper describes the performance, generated power flow distribution and redistribution for each power plant on the grid based on adapting load and weather forecasting data. Both load forecasting and weather foreca...This paper describes the performance, generated power flow distribution and redistribution for each power plant on the grid based on adapting load and weather forecasting data. Both load forecasting and weather forecasting are used for collecting predicting data which are required for optimizing the performance of the grid. The stability of each power systems on the grid highly affected by load varying, and with the presence of the wind power systems on the grid, the grid will be more exposed to lowering its performance and increase the instability to other power systems on the gird. This is because of the intermittence behavior of the generated power from wind turbines as they depend on the wind speed which is varying all the time. However, with a good prediction of the wind speed, a close to the actual power of the wind can be determined. Furthermore, with knowing the load characteristics in advance, the new load curve can be determined after being subtracted from the wind power. Thus, with having the knowledge of the new load curve, and data that collected from SACADA system of the status of all power plants, the power optimization, load distribution and redistribution of the power flows between power plants can be successfully achieved. That is, the improvement of performance, more reliable, and more stable power grid.展开更多
文摘This paper describes the performance, generated power flow distribution and redistribution for each power plant on the grid based on adapting load and weather forecasting data. Both load forecasting and weather forecasting are used for collecting predicting data which are required for optimizing the performance of the grid. The stability of each power systems on the grid highly affected by load varying, and with the presence of the wind power systems on the grid, the grid will be more exposed to lowering its performance and increase the instability to other power systems on the gird. This is because of the intermittence behavior of the generated power from wind turbines as they depend on the wind speed which is varying all the time. However, with a good prediction of the wind speed, a close to the actual power of the wind can be determined. Furthermore, with knowing the load characteristics in advance, the new load curve can be determined after being subtracted from the wind power. Thus, with having the knowledge of the new load curve, and data that collected from SACADA system of the status of all power plants, the power optimization, load distribution and redistribution of the power flows between power plants can be successfully achieved. That is, the improvement of performance, more reliable, and more stable power grid.
文摘为了解决双馈风电机组(doubly-fed induction generator wind power generation system,DFIG-WPGS)在连接点电网电压发生跌落故障时的转子过电流、改善DFIG-WPGS的故障穿越(fault-ride-through,FRT)性能等问题,提出了应用于DFIG-WPGS的可变阻尼器(based on variable damper,BVD)的控制方法。该控制方法采用基于虚拟撬棒电阻电感的负反馈控制,在DFIG转子侧引入的虚拟撬棒电阻与故障时电网电压跌落程度相关,且虚拟撬棒电阻的取值控制在合理的取值范围之内;BVD控制方法通过在DFIG转子电流控制环引入阻尼器,限制故障状态下DFIG的转子过电流,且对故障过程中的转子电流进行有效控制。连接点电网电压发生深度跌落故障时DFIG-WPGS的FRT仿真结果显示:在连接点电网电压深度跌落故障发生时刻,BVD控制方法的交流励磁电源直流侧电压的泵升幅度比矢量控制方法的更小,BVD控制方法的DFIG转子过电流幅值更小,而且故障期间转子电流的幅值比矢量控制方法的更大,更利于DFIG的功率控制;实验结果进一步验证了BVD控制方法的有效性。在改善DFIGWPGS的FRT性能过程中,基于可变阻尼器的控制方法不仅可以有效抑制交流励磁电源的直流侧过电压、抑制DFIG转子过电流,而且可以有效控制故障过程中DFIG的输出功率,该方法在风电场具有一定的工程实践使用价值。
