<span style="font-family:Verdana;">The microgrid has become significant and commonly used;it has localized electricity sources and loads connected to a centralized electrical power network</span>...<span style="font-family:Verdana;">The microgrid has become significant and commonly used;it has localized electricity sources and loads connected to a centralized electrical power network</span><span style="font-family:Verdana;"> system when the need arises</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">and disconnects to island mode.</span><span style="font-family:;" "=""><span style="font-family:Verdana;"> A microgrid can effectively be integrated with various distribution generators, which can improve the voltage level on the transmission line by reducing the real power</span><span style="font-family:Verdana;"> losses. In this work, new technologies will permit power grids to </span><span style="font-family:Verdana;">be better prepared for future requirements. The numbers and diversity of such decentralized power plants require a new type of management in the operation</span><span style="font-family:Verdana;"> of power grids and intelligent networks or “smart grid.” A </span><span style="font-family:Verdana;">SCADA system will improve coordination between power demand and generation and use of modern information technology such as the internet, sensors, controllers, and wireless transmission equipment and use smart metering. The Accelerated Particle Swarm Optimization technique will be used to select the optimum location of a wind turbine to install in the power grid considering minimum power losses with optimal operation consideration of the number of iterations, the execution time of the program, and the memory capacity. The analysis and the study are carried out in MATLAB and the SCADA system.</span></span>展开更多
电缆沟作为变电所建设的重要组成部分,其工况直接关系整个变电所的正常运行。文章以某有轨电车半地下变电所电缆沟的应用实践为例,对电缆沟积水产生的原因进行了详细分析,并基于电力数据采集与监视控制系统(supervisory control and dat...电缆沟作为变电所建设的重要组成部分,其工况直接关系整个变电所的正常运行。文章以某有轨电车半地下变电所电缆沟的应用实践为例,对电缆沟积水产生的原因进行了详细分析,并基于电力数据采集与监视控制系统(supervisory control and data acquisition,SCADA)对排水系统中的液位继电器和排水泵接触器动作状态进行实时监测,当二者动作状态不同时发出故障告警提示。该排水系统实现了电缆沟内抽排积水自动化、运行状态远程监控和故障告警,降低了汛期人力和物力运维成本,为变电所的安全运行提供了保障。展开更多
随着嵌入式系统的广泛应用,选择适当的轻量级安全防护措施以提升资源受限终端的安全水平变得尤为重要。为此,在考虑网络安全防护措施的资源消耗属性、时间延迟属性及安全收益属性的基础上,建立轻量级防护措施决策的属性目标函数,利用层...随着嵌入式系统的广泛应用,选择适当的轻量级安全防护措施以提升资源受限终端的安全水平变得尤为重要。为此,在考虑网络安全防护措施的资源消耗属性、时间延迟属性及安全收益属性的基础上,建立轻量级防护措施决策的属性目标函数,利用层次分析法确定各属性的权重,构建基于多属性决策的决策模型,根据决策值完成对备选防护措施的优选,解决了传统防护方案选择防护措施主观性强的问题。于搭建的模拟控制系统(supervisory control and data acquisition, SCADA)数据采集与监视控制系统中应用所提轻量级安全防护措施决策模型,结果表明所提模型能够有效选择轻量级安全防护措施。展开更多
随着智能电网架构日益复杂化,作为核心控制平台的监控和数据采集(Supervisory Control and Data Acquisition,SCADA)系统,其安全性已成为工业网络防护的关键问题。针对传统通信协议加密能力不足、命令注入易发、重放攻击防范缺失等问题...随着智能电网架构日益复杂化,作为核心控制平台的监控和数据采集(Supervisory Control and Data Acquisition,SCADA)系统,其安全性已成为工业网络防护的关键问题。针对传统通信协议加密能力不足、命令注入易发、重放攻击防范缺失等问题,提出一种基于长短期记忆-全连接神经网络(Long Short-Term Memory-Full-connect Neural Network,LSTM-FNN)模型的SCADA系统入侵检测方法。通过对SCADA系统架构与通信协议特征的剖析,构建以行为序列为核心的多维特征提取体系,设计捕获窗口机制以增强时序信息表达能力,采用主成分分析降维后引入LSTM与全连接网络联合建模,实现对多类异常行为的实时识别。系统部署基于SWaT测试床,通过通用工业协议(Common Industrial Protocol,CIP)采集高维流量数据,构建完整的检测流程。实验结果表明,本文模型在准确率、精确率、召回率及F_(1)值上均达99.99%,在毫秒级响应要求下具备高效稳定运行能力,适用于工业智能电网SCADA环境的安全监测需求。展开更多
文摘<span style="font-family:Verdana;">The microgrid has become significant and commonly used;it has localized electricity sources and loads connected to a centralized electrical power network</span><span style="font-family:Verdana;"> system when the need arises</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">and disconnects to island mode.</span><span style="font-family:;" "=""><span style="font-family:Verdana;"> A microgrid can effectively be integrated with various distribution generators, which can improve the voltage level on the transmission line by reducing the real power</span><span style="font-family:Verdana;"> losses. In this work, new technologies will permit power grids to </span><span style="font-family:Verdana;">be better prepared for future requirements. The numbers and diversity of such decentralized power plants require a new type of management in the operation</span><span style="font-family:Verdana;"> of power grids and intelligent networks or “smart grid.” A </span><span style="font-family:Verdana;">SCADA system will improve coordination between power demand and generation and use of modern information technology such as the internet, sensors, controllers, and wireless transmission equipment and use smart metering. The Accelerated Particle Swarm Optimization technique will be used to select the optimum location of a wind turbine to install in the power grid considering minimum power losses with optimal operation consideration of the number of iterations, the execution time of the program, and the memory capacity. The analysis and the study are carried out in MATLAB and the SCADA system.</span></span>
文摘电缆沟作为变电所建设的重要组成部分,其工况直接关系整个变电所的正常运行。文章以某有轨电车半地下变电所电缆沟的应用实践为例,对电缆沟积水产生的原因进行了详细分析,并基于电力数据采集与监视控制系统(supervisory control and data acquisition,SCADA)对排水系统中的液位继电器和排水泵接触器动作状态进行实时监测,当二者动作状态不同时发出故障告警提示。该排水系统实现了电缆沟内抽排积水自动化、运行状态远程监控和故障告警,降低了汛期人力和物力运维成本,为变电所的安全运行提供了保障。
文摘随着嵌入式系统的广泛应用,选择适当的轻量级安全防护措施以提升资源受限终端的安全水平变得尤为重要。为此,在考虑网络安全防护措施的资源消耗属性、时间延迟属性及安全收益属性的基础上,建立轻量级防护措施决策的属性目标函数,利用层次分析法确定各属性的权重,构建基于多属性决策的决策模型,根据决策值完成对备选防护措施的优选,解决了传统防护方案选择防护措施主观性强的问题。于搭建的模拟控制系统(supervisory control and data acquisition, SCADA)数据采集与监视控制系统中应用所提轻量级安全防护措施决策模型,结果表明所提模型能够有效选择轻量级安全防护措施。
文摘随着智能电网架构日益复杂化,作为核心控制平台的监控和数据采集(Supervisory Control and Data Acquisition,SCADA)系统,其安全性已成为工业网络防护的关键问题。针对传统通信协议加密能力不足、命令注入易发、重放攻击防范缺失等问题,提出一种基于长短期记忆-全连接神经网络(Long Short-Term Memory-Full-connect Neural Network,LSTM-FNN)模型的SCADA系统入侵检测方法。通过对SCADA系统架构与通信协议特征的剖析,构建以行为序列为核心的多维特征提取体系,设计捕获窗口机制以增强时序信息表达能力,采用主成分分析降维后引入LSTM与全连接网络联合建模,实现对多类异常行为的实时识别。系统部署基于SWaT测试床,通过通用工业协议(Common Industrial Protocol,CIP)采集高维流量数据,构建完整的检测流程。实验结果表明,本文模型在准确率、精确率、召回率及F_(1)值上均达99.99%,在毫秒级响应要求下具备高效稳定运行能力,适用于工业智能电网SCADA环境的安全监测需求。
