缩略图和描述焦点图

PSASP三机九节点仿真工程，适用于7.0版本。(PSASP three machine nine node simulation project is suitable for version 7.)

读取显示的测试程序及库文件的源代码，能方便用户进行显示书写获取、设置等 -reading shows the test procedures and the documentation of the source code, users can easily write access show, settings

利用规范变量分析的方法，对数据进行诊断分析(use cva to realize online monitoring)

贪心算法，动态生成数组后，然后计算得到最小生成树-greed algorithm

本设计利用现代电子技术、传感器技术等，设计出一款测量准确、简单易用，造价便宜的电子心率计。此心率计总体包括了红外心率检测电路、前端信号处理电路、控制电路和电源转换电路。并用C语言编写控制程序，实现对电路的控制。(This design uses modern electronic technology, sensor technology, etc. to design an electronic heart rate meter with accurate measurement, simple use and low cost. The heart rate meter includes infrared heart rate detection circuit, front-end signal processing circuit, control circuit and power conversion circuit. The control program is written in C language to realize the control of the circuit.)

R语言对数据进行Garch-t-Copula建模和Garch-Clayton-Copula建模(Garch-t-Copula modeling and Garch-Clayton-Copula modeling for data in R language)

scientific calculator in VC++

迅雷，工具大家都很清楚的，-Thunderbolt, tools, we are all very clear, after another Ding Ding Ding Ding Ding Ding

C#禁止Windows菜单命令，也可重新释放该功能为正常状态。禁止后，Windows的开始菜单不能用。

本文分析微网中微电源包括光伏发电、风力发电、微燃机、柴油发电机和燃料电池的电气特性，构建微电网优化运行的模型，以微网的经济成本和环境成本最小为目标函数，充分考虑了电压越限、功率平衡、微电源出力限制等约束条件，应用鸡群算法进行求解。 解决了粒子群算法易早熟、易陷入局部最优解的问题。并通过典型的微网系统进行仿真分析，仿真结果验证了该算法的有效性。(In this paper, the electrical characteristics of micro-power sources in micro-grid, including photovoltaic power generation, wind power generation, micro-gas engine, diesel generator and fuel cell, are analyzed. The optimal operation model of micro-grid is constructed. The objective function is to minimize the economic cost and environmental cost of micro-grid. The constraints of voltage overshoot, power balance and output limitation of micro-power are fully considered. The chicken swarm algorithm is applied to solve the problem. Particle swarm optimization (PSO) is easy to premature and fall into local optimal solution. The simulation results of a typical microgrid system show the effectiveness of the proposed algorithm.)