Grid++Report 5.6 锐浪报表 破解版 仅供研究使用 请支持国产正版 谢谢

Surfer Grid，导入/导出。 Matlab <-> Golden Software Surfer 和 Grapher 该包包含两个简单的例程：grd_write.m和grd_read.m。 他们通过 GRD 文件格式（ASCII 版本）将 Matlab 与 Golden Software Surfer 通信。 grd_write（矩阵，xmin，xmax，ymin，ymax，namefile） 输入： 矩阵 = 要导出的矩阵xmin,xmax,ymin,ymax = 网格限制namefile = 要写入的文件的名称（包括“.grd”扩展名） 输出： 当前目录下的grd文件 [矩阵 xmin xmax ymin ymax]=grd_read（文件名） 输入： nomarch = 要读取的文件的名称，包括“.grd”扩展名输出： 矩阵 = 读取数据的矩阵xmin xmax ym

As the main building block of the smart grid systems, microgrid (MG) integrates a number of local distributed generation units, energy storage systems, and local loads to form a small-scale, low- and medium-voltage level power system. In gen- eral, an MG can operate in two modes, i.e., the grid-connected and islanded mode. Recently, in order to standardize its operation and functionality, hierarchical con- trol for islanded MG systems has been proposed. It divides the control structure into three layers, namely, primary, secondary, and tertiary control. The primary control is based on each local distributed generation (DG) controller and is realized in a de- centralized way. In the secondary layer, the frequency and voltage restoration control as well as the power quality enhancement is usually carried out. In the tertiary con- trol, economic dispatch and power flow optimization issues are considered. However, conventionally both the secondary and tertiary control are realized in a centralized way. There are certain drawbacks to such centralized control, such as high compu- tation and communication cost, poor fault tolerance ability, lack of plug-and-play properties, and so on. In order to overcome the above drawbacks, distributed control is proposed in the secondary control and tertiary optimization in this book. In the secondary control, restorations for both voltage and frequency in the droop- controlled inverter-based islanded MG are addressed. A distributed finite-time con- trol approach is used in the voltage restoration which enables the voltages at all the DGs to converge to the reference value in finite time, and thus, the voltage and frequency control design can be separated. Then, a consensus-based distributed fre- quency control is proposed for frequency restoration, subject to certain control input constraints. The proposed control strategy can restore both voltage and frequency to their respective reference values while having accurate real power sharing, under a sufficient local stability condition established. Then the distributed control strategy is also employed in the secondary voltage unbalance compensation to replace the conventional centralized controller. The con- cept of contribution level (CL) for compensation is first proposed for each local DG to indicate its compensation ability. A two-layer secondary compensation architecture consisting of a communication layer and a compensation layer is designed for each xvii xviii Distributed Control and Optimization Technologies in Smart Grid Systems local DG. A totally distributed strategy involving information sharing and exchange is proposed, which is based on finite-time average consensus and newly developed graph discovery algorithm. In the tertiary layer, a distributed economic dispatch (ED) strategy based on pro- jected gradient and finite-time average consensus algorithms is proposed. By de- composing the centralized optimization into optimizations at local agents, a scheme is proposed for each agent to iteratively estimate a solution for the optimization problem in a distributed manner with limited communication among neighbors. It is shown that the estimated solutions of all the agents reach consensus of the optimal solution asymptomatically. Besides, two distributed multi-cluster optimization meth- ods are proposed for a large-scale multi-area power system. We first propose to divide all the generator agents into clusters (groups) and each cluster has a leader to com- municate with the leaders of its neighboring clusters. Then two different schemes are proposed for each agent to iteratively estimate a solution of the optimization prob- lem in a distributed manner. It is theoretically proved that the estimated solutions of all the agents reach consensus of the optimal solution asymptomatically. In addition, a novel hierarchical decentralized optimization architecture is proposed to solve the ED problem. Similar to distributed algorithms, each local generator only solves its own problem based on its own cost function and generation constraint. An extra co- ordinator agent is employed to coordinate all the local generator agents. Besides, it also takes the responsibility for handling the global demand supply constraint. In this way, different from existing distributed algorithms, the global demand supply con- straint and local generation constraints are handled separately, which would greatly reduce the computational complexity. It is theoretically shown that under proposed hierarchical decentralized optimization architecture, each local generator agent can obtain the optimal solution in a decentralized fashion. A distributed optimal energy scheduling strategy is also proposed in the tertiary layer, which is based on a newly proposed pricing strategy named PD pricing. Con- ventional real-time pricing strategies only depend on the current total energy con- sumption. In contrast to this, our proposed pricing strategy also takes the incremen- tal energy consumption into consideration, which aims to further fill the valley load and shave the peak load. An optimal energy scheduling problem is then formulated by minimizing the total social cost of the overall power system. Two different dis- tributed optimization algorithms with different communication strategies are pro- posed to solve the problem.

Python中numpy库中，X,Y = np.meshgrid(x,y)最详细理解（附理解代码） 一. 导入numpy库 import numpy as np 二. 生成X,Y = np.meshgrid(x,y)并详解 N = 3 M=7 #生成两个一维矩阵 x = np.linspace(-2, 2, N) #[-2 0 2] y = np.linspace(-3, 3,M)#[-3 -2 1 0 1 2 3 ] X,Y = np.meshgrid(x,y) #成为两个二维矩阵 话不多说，我们直接看输出结果： 从X二维矩阵可以看出来：7行3列（M行N列） 每一行显示[-2 0 2]

5种最流行好用的表格grid控件

EasyGrid，不错的delphi grid 用了后都知道好用

zclGrid类是基于VFP基类Grid开发的用于程序开发的工具类。 其基本功能： 1、当前Grid显示内容的备份，备份类型为DBF或xls， 使用方法，可参照示例表单的“文件备份”按钮控件代码 2、多层表头的实现 使用方法，设置每列的Header1的caption属性， 各层标题间用|分开即可，可参照示例所示。 3、输出到Excel，将当前Grid显示内容输出到Excel中 使用方法，可参照示例表单的“输出到Excel”按钮控件代码 4、粘贴、拷贝功能的实现 使用方法，按住Shift键不放，在Grid格中依次点击两个单元格， 选择一个区域，在所选区域上点击鼠标右键，在弹出菜单上选择复制， 在Excel或Word中粘贴即可。 联系人：张春雷 Email :zcljn@163.com

经常用到的Grid隔行换色效果就上传了，下的别人的，但不记得是哪位前辈了

report machine 5.5 超好用，有demo。 有源代码，有DPK安装包，用起来很顺。 这个版本号称是非常成熟的版本。

oslab-report 哈工大操作系统 Linux 0.11 实验报告。 结构说明 基本上按照实验楼顺序完成，具体每个地方都有文档，文档中有实验相对的名字，文档提供三种格式，一是写作用的markdown源格式，第二个是导出的PDF，第三个是导出的有结构的 HTML 方便阅读，文档中有各种各样的说明和图片，就不单独放一个文件夹放图片了，所有的图片也托管到了我的图床，也就是说是在线的。 其他说明 HIT 实验中，我使用的是我自己修改的 docker，相对来说算好用： 欢迎反馈问题，给出建议，在一开始搭建实验环境的时候真的很费事，甚至很多人彻底放弃，希望这个项目能够简化这个流程，让更多人能够参与实验。 文档大部分都写的很长，完整的记录了我的实验，就看着有些长了。 总体上说，如果这些实验没有网络上的前辈们的工作、说明、经验分享与问题的解答，我是很难完成的，本实验详细的实验文档也也帮助很大，没有这