An issue to distinguish sensitive parameters of storage life prior to the failure of a bridgewire electro-(explosive) device (EED) is studied. The degradations of bridgewire resistance, 50% firing current, ignition de...An issue to distinguish sensitive parameters of storage life prior to the failure of a bridgewire electro-(explosive) device (EED) is studied. The degradations of bridgewire resistance, 50% firing current, ignition delay time, bridgewire molten time and powder color with the storage time were measured under a simulating accelerated life test of high-temperature and high-humidity. The most sensitive parameter suitable to evaluate the EED storage life is discussed. It is concluded that the standard deviation of resistance change is the most sensitive degradation variable, and the next is bridgewire molten time, 50% firing current and ignition delay time. The mean of resistance is an insensitive degradation parameter.展开更多
为了准确、快速地求解电力系统环境经济调度(environmental economic dispatching,EED)问题,将基于分解的多目标进化算法(multi-objective evolutionary algorithm based on decomposition,MOEA/D)应用于电力调度领域,提出了基于MOEA/D...为了准确、快速地求解电力系统环境经济调度(environmental economic dispatching,EED)问题,将基于分解的多目标进化算法(multi-objective evolutionary algorithm based on decomposition,MOEA/D)应用于电力调度领域,提出了基于MOEA/D的多目标环境经济调度算法。该算法首先采用Tchebycheff法将整个EED Pareto最优前沿的逼近问题分解为一定数量的单目标优化子问题,然后利用差分进化同时求解这些子问题,并在算法中加入约束处理及归一化操作,以获得最优的带约束EED问题的调度方案。最后,应用模糊集理论为决策者提供最优折中解。对IEEE 30节点测试系统进行仿真计算,并与其它智能优化算法的调度方案对比。结果表明,该算法有效可行,且具有很好的收敛速度和求解精度。展开更多
文摘An issue to distinguish sensitive parameters of storage life prior to the failure of a bridgewire electro-(explosive) device (EED) is studied. The degradations of bridgewire resistance, 50% firing current, ignition delay time, bridgewire molten time and powder color with the storage time were measured under a simulating accelerated life test of high-temperature and high-humidity. The most sensitive parameter suitable to evaluate the EED storage life is discussed. It is concluded that the standard deviation of resistance change is the most sensitive degradation variable, and the next is bridgewire molten time, 50% firing current and ignition delay time. The mean of resistance is an insensitive degradation parameter.
文摘为了准确、快速地求解电力系统环境经济调度(environmental economic dispatching,EED)问题,将基于分解的多目标进化算法(multi-objective evolutionary algorithm based on decomposition,MOEA/D)应用于电力调度领域,提出了基于MOEA/D的多目标环境经济调度算法。该算法首先采用Tchebycheff法将整个EED Pareto最优前沿的逼近问题分解为一定数量的单目标优化子问题,然后利用差分进化同时求解这些子问题,并在算法中加入约束处理及归一化操作,以获得最优的带约束EED问题的调度方案。最后,应用模糊集理论为决策者提供最优折中解。对IEEE 30节点测试系统进行仿真计算,并与其它智能优化算法的调度方案对比。结果表明,该算法有效可行,且具有很好的收敛速度和求解精度。