Busing potential function has been used for the computer simulation of ZnCl2 melts. The agreement between the calculated values of inter-ionicc distances and total internal energy with the experimental data are rather...Busing potential function has been used for the computer simulation of ZnCl2 melts. The agreement between the calculated values of inter-ionicc distances and total internal energy with the experimental data are rather good.展开更多
A simulation framework is proposed to evaluate the voltage stability of power systems incorporating wind power intermittency.Firstly，the power output modelings of three types of wind turbines are discussed.Secondly，...A simulation framework is proposed to evaluate the voltage stability of power systems incorporating wind power intermittency.Firstly，the power output modelings of three types of wind turbines are discussed.Secondly，the Jensen model is employed to simulate the wind farm with the wake effect.The Monte Carlo based technique is used to conduct the voltage stability evaluation incorporating the randomness of the wind speed based on the Weibull probability distribution.Thirdly，the relative sensitivity index（RSI）is calculated to identify weak buses during analysis.Finally，case studies with different simulation scenarios are carried out.Some statistical results involving weakness probability，expected value and variance of RSI as well as preliminary conclusions are drawn based on numerical simulation results.展开更多
文摘Busing potential function has been used for the computer simulation of ZnCl2 melts. The agreement between the calculated values of inter-ionicc distances and total internal energy with the experimental data are rather good.
基金This work is supported by National Natural Science Foundation of China （No. 50977051 ） and Research Project of Science and Technology from Shenzhen Development and Innovation Committee （No. ZDSY20120619141142918）.
文摘A simulation framework is proposed to evaluate the voltage stability of power systems incorporating wind power intermittency.Firstly，the power output modelings of three types of wind turbines are discussed.Secondly，the Jensen model is employed to simulate the wind farm with the wake effect.The Monte Carlo based technique is used to conduct the voltage stability evaluation incorporating the randomness of the wind speed based on the Weibull probability distribution.Thirdly，the relative sensitivity index（RSI）is calculated to identify weak buses during analysis.Finally，case studies with different simulation scenarios are carried out.Some statistical results involving weakness probability，expected value and variance of RSI as well as preliminary conclusions are drawn based on numerical simulation results.
