Due to randomness of wind generator＇s availability, power system planners have big concern on EEG （expected energy generation） and system reliability of power system with wind generators. This paper presents a meth...Due to randomness of wind generator＇s availability, power system planners have big concern on EEG （expected energy generation） and system reliability of power system with wind generators. This paper presents a methodology to evaluate the EEG as well as overall LOLP （loss of load probability）, which is an index for system reliability of multi-area interconnected systems with wind generators, as well as conventional fossil fuel based generating units. The proposed model is also capable of tracking the energy export incorporating the multi-state probability model for wind generator which output varies with time and season.展开更多
基于传统的发电系统停运模型,考虑系统负荷水平、联络线容量、联络线强迫停运率等因素,提出采用二维概率阵列法计算电力不足概率(loss of load probability,LOLP)并推导互联系统的备用需求模型。采用IEEE30节点进行仿真计算,验证备用需...基于传统的发电系统停运模型,考虑系统负荷水平、联络线容量、联络线强迫停运率等因素,提出采用二维概率阵列法计算电力不足概率(loss of load probability,LOLP)并推导互联系统的备用需求模型。采用IEEE30节点进行仿真计算,验证备用需求模型确定互联系统备用容量方法的可行性。展开更多
文摘Due to randomness of wind generator＇s availability, power system planners have big concern on EEG （expected energy generation） and system reliability of power system with wind generators. This paper presents a methodology to evaluate the EEG as well as overall LOLP （loss of load probability）, which is an index for system reliability of multi-area interconnected systems with wind generators, as well as conventional fossil fuel based generating units. The proposed model is also capable of tracking the energy export incorporating the multi-state probability model for wind generator which output varies with time and season.
基金supported by National Key Technology Research and Development Program of China(No.2011BAA07B07)National Natural Science Foundation of China(No.51077041)
