首页> 外文期刊>Industrial Informatics, IEEE Transactions on >Real-Time Modeling for Direct Load Control in Cyber-Physical Power Systems
【24h】

Real-Time Modeling for Direct Load Control in Cyber-Physical Power Systems

机译:网络物理电力系统中直接负载控制的实时建模

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents an innovative approach to use real-time scheduling techniques for the automation of electric loads in Cyber-Physical Power Systems. The goal is to balance the electric power usage to achieve an optimized upper bound on the power peak load, while guaranteeing specific constraints on the physical process controlled by the electric loads. Timing parameters derived from the scheduling discipline of real-time computing systems are used to model electric devices. Real-time scheduling algorithms can be exploited to achieve the upper bound by predictably and timely switching on/off the devices composing the electrical system. The paper shows the relevance of electric load balancing in power systems to motivate the use of real-time techniques to achieve predictability of electric loads scheduling. Real-Time Physical Systems (RTPS) are introduced as a novel modeling methodology of a physical system based on real-time parameters. They enable the use of traditional real-time system models and scheduling algorithms, with adequate adaptations, to manage loads activation/deactivation. The model of the physical process considered in this work is characterized by uncertainties that are compensated by a suitable feedback control policy, based on the dynamic adaptation of real-time parameter values. A number of relevant relationships between real-time and physical parameters are derived.
机译:本文提出了一种创新的方法,可以使用实时调度技术来实现网络物理电力系统中电力负载的自动化。目标是平衡电力使用量,以实现功率峰值负载的优化上限,同时保证对由电力负载控制的物理过程进行特定限制。从实时计算系统的调度规则派生的时序参数用于对电气设备进行建模。可以利用实时调度算法,通过可预测和及时地打开/关闭组成电气系统的设备来达到上限。本文显示了电力系统中电力负荷平衡的相关性,以激励人们使用实时技术来实现电力负荷调度的可预测性。引入实时物理系统(RTPS)作为基于实时参数的物理系统的新型建模方法。它们可以使用经过适当调整的传统实时系统模型和调度算法来管理负载激活/停用。在这项工作中考虑的物理过程模型的特征是不确定性,该不确定性由基于实时参数值的动态适应的适当的反馈控制策略来补偿。导出了实时和物理参数之间的许多相关关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号