以糯扎渡—鹤山±800 kV特高压直流输电系统为研究对象,利用电力系统计算机辅助设计和电磁暂态模拟程序软件(power system computer aided design and electric magnetic transient in DC system,PSCAD/EMTDC),建立交流系统、换流...以糯扎渡—鹤山±800 kV特高压直流输电系统为研究对象,利用电力系统计算机辅助设计和电磁暂态模拟程序软件(power system computer aided design and electric magnetic transient in DC system,PSCAD/EMTDC),建立交流系统、换流器、换流变压器、交直流滤波器、直流平波电抗器、直流输电线路的仿真模型,并在这个仿真平台上进行单极、双极全压仿真模拟分析,仿真结果表明所建模型较准确地模拟糯扎渡—鹤山特高压直流输电系统,可以作为研究特高压直流输电系统的有效工具。展开更多
The aim of this study was to develop and explore a stochastic lattice gas cellular automata （LGCA） model for epidemics. A computer program was development in order to implement the model. An irregular grid of cells ...The aim of this study was to develop and explore a stochastic lattice gas cellular automata （LGCA） model for epidemics. A computer program was development in order to implement the model. An irregular grid of cells was used. A susceptible-infected-recovered （SIR） scheme was represented. Stochasticity was generated by Monte Carlo method. Dynamics of model was explored by numerical simulations. Model achieves to represent the typical SIR prevalence curve. Performed simulations also show how infection, mobility and distribution of infected individuals may influence the dynamics of propagation. This simple theoretical model might be a basis for developing more realistic designs.展开更多
文摘以糯扎渡—鹤山±800 kV特高压直流输电系统为研究对象,利用电力系统计算机辅助设计和电磁暂态模拟程序软件(power system computer aided design and electric magnetic transient in DC system,PSCAD/EMTDC),建立交流系统、换流器、换流变压器、交直流滤波器、直流平波电抗器、直流输电线路的仿真模型,并在这个仿真平台上进行单极、双极全压仿真模拟分析,仿真结果表明所建模型较准确地模拟糯扎渡—鹤山特高压直流输电系统,可以作为研究特高压直流输电系统的有效工具。
文摘The aim of this study was to develop and explore a stochastic lattice gas cellular automata （LGCA） model for epidemics. A computer program was development in order to implement the model. An irregular grid of cells was used. A susceptible-infected-recovered （SIR） scheme was represented. Stochasticity was generated by Monte Carlo method. Dynamics of model was explored by numerical simulations. Model achieves to represent the typical SIR prevalence curve. Performed simulations also show how infection, mobility and distribution of infected individuals may influence the dynamics of propagation. This simple theoretical model might be a basis for developing more realistic designs.
