以风电场公共耦合点(Point of common coupling,PCC)运行特性一致为目标,提出了一种基于直驱风机箱变阀侧输入阻抗不变的改进等值方法。以箱变阀侧电气元件输入阻抗不变为原则,结合设定的目标额定容量,计算箱变阀侧及发电机机端额定电压...以风电场公共耦合点(Point of common coupling,PCC)运行特性一致为目标,提出了一种基于直驱风机箱变阀侧输入阻抗不变的改进等值方法。以箱变阀侧电气元件输入阻抗不变为原则,结合设定的目标额定容量,计算箱变阀侧及发电机机端额定电压,进而得出各电气元件等值参数。以某直驱风电场为例,考虑集电线路的化简,在实时数字仿真系统中分别搭建12台参数相同的2.5 MW多机详细模型、1台30 MW单机常规等值模型及1台30 MW单机改进等值模型,通过仿真对比3个模型在PCC点的动态特性。结果表明,3个模型的运行特性基本一致,证实该等值方法能准确反映PCC点的动态特性。展开更多
The applied technology of high roller-compacted concrete(RCC) dams is quite complicated because of various risk factors, including the weather condition, supply of concrete aggregate, efficiency of transport machinery...The applied technology of high roller-compacted concrete(RCC) dams is quite complicated because of various risk factors, including the weather condition, supply of concrete aggregate, efficiency of transport machinery and dam surface machinery, and so on. In order to ensure the comprehensiveness, accuracy and objectivity of construction schedule risk analysis, a mathematical model called improved correlated schedule risk analysis model(CSRAM) is proposed in this paper. This model takes into account not only the construction features of high RCC dams, but also the stochastic variations of risk factors with the construction schedule, as well as their comprehensive effects. Using Monte Carlo method to solve this model enables the completion probability of a high RCC dam construction within plan time, and uncertainty analysis of risk factors. Compared with the conventional CSRAM, the improved CSRAM has higher completion probability and more convergent distribution of a simulation period, making analysis results more accurate and closer to actual engineering conditions. Among the ten risk factors selected, efficiency of dam surface machinery and proficiency of workers are found to be of the maximum uncertainty.展开更多
文摘以风电场公共耦合点(Point of common coupling,PCC)运行特性一致为目标,提出了一种基于直驱风机箱变阀侧输入阻抗不变的改进等值方法。以箱变阀侧电气元件输入阻抗不变为原则,结合设定的目标额定容量,计算箱变阀侧及发电机机端额定电压,进而得出各电气元件等值参数。以某直驱风电场为例,考虑集电线路的化简,在实时数字仿真系统中分别搭建12台参数相同的2.5 MW多机详细模型、1台30 MW单机常规等值模型及1台30 MW单机改进等值模型,通过仿真对比3个模型在PCC点的动态特性。结果表明,3个模型的运行特性基本一致,证实该等值方法能准确反映PCC点的动态特性。
基金supported by the Innovative Research Groups of the National Natural Science Foundation of China(Grant No.51321065)the National Basic Research Program of China("973"Project)(Grant No.2013CB035906)the National Natural Science Foundation of China(Grant No.51339003)
文摘The applied technology of high roller-compacted concrete(RCC) dams is quite complicated because of various risk factors, including the weather condition, supply of concrete aggregate, efficiency of transport machinery and dam surface machinery, and so on. In order to ensure the comprehensiveness, accuracy and objectivity of construction schedule risk analysis, a mathematical model called improved correlated schedule risk analysis model(CSRAM) is proposed in this paper. This model takes into account not only the construction features of high RCC dams, but also the stochastic variations of risk factors with the construction schedule, as well as their comprehensive effects. Using Monte Carlo method to solve this model enables the completion probability of a high RCC dam construction within plan time, and uncertainty analysis of risk factors. Compared with the conventional CSRAM, the improved CSRAM has higher completion probability and more convergent distribution of a simulation period, making analysis results more accurate and closer to actual engineering conditions. Among the ten risk factors selected, efficiency of dam surface machinery and proficiency of workers are found to be of the maximum uncertainty.