一个用于西门子S7-200SMART SR30控制工业用除湿机的源码
2022-04-01 14:13:48 21KB SMART
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STEP 7-MicroWIN SMART
2022-03-31 22:17:35 3.94MB STEP 7-MicroWIN
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200smart连wincc的具体设置和实用都在里面。非常详细。
2022-03-31 16:03:55 367KB smart wincc
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OPC用于是SMART 200和Wincc之间的通讯服务器 使用时不能使用中文名,不能有汉字,否者就读取不上
2022-03-31 15:53:45 248.26MB opc smart200
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安装文件制作工具,Smart Install Maker v5.02 中文纯净版,内含注册码,经本人测试可用无毒。 有需要制作安装文件的朋友必备此工具! 解压后即可使用,不过需要自己输入注册码
2022-03-28 16:39:54 1.19MB Smart Install Maker v5.02
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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.
2022-03-28 09:41:02 47.36MB Smart Grid
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气力输送系统,现场用PLC控制程序实例,满足学习应用。PLC为S7-200 SMART型号,四条输送线,4台风机,5台电场,及4台闸板阀控制
2022-03-27 22:04:40 31KB PLC smart S7-200
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西门子S7-200_SMART_EM模块CAD图纸全集
2022-03-27 15:31:09 7.35MB 西门子
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西门子PLC,S7-200SMART-MODBUS通信介绍与实例编程,详细介绍其使用方法,实用性强。通信扩展使用,成本低,易用性较好。
2022-03-26 13:21:44 128KB modbus
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分析使用了DataCo Global公司使用的供应链数据集。供应链数据集,允许使用机器学习算法和R软件。重要的注册活动领域包括:供应,生产,销售,商业分销,还允许将结构化数据与非结构化数据进行关联以生成知识。 DescriptionDataCoSupplyChain.csv DataCoSupplyChainDataset.csv tokenized_access_logs.csv
2022-03-25 20:09:43 42.5MB 数据集
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