首页> 外文期刊>IEEE transactions on industrial informatics >Pervasive grid for large-scale power systems contingency analysis
【24h】

Pervasive grid for large-scale power systems contingency analysis

机译:普适电网,用于大规模电力系统应变分析

获取原文
获取原文并翻译 | 示例
           

摘要

Optimal control and management of power systems require extensive analyses of phenomena that can compromise their operation in order to evaluate their impact on the security and reliability levels of the electrical networks. For complex networks, this process, known as power systems contingencies analysis, requires large computational efforts, whereas computation times should be less than a few minutes for the information to be useful. Even though many architectures based on conventional parallel and distributed systems have been widely proposed in the literature, they are characterized by low extensibility, reusability, and scalability, and so, they require a sensible hardware upgrade when more computational resources are necessary. This event is not infrequent in power systems where the constant growth of the electrical network complexity and the need for larger security and reliability levels of the plant infrastructures lead to the need of more detailed contingency analysis in shorter times. To address this problem, this paper proposes a pervasive grid approach to define a user-friendly software infrastructure for data acquisition from electrical networks and for data processing in order to simulate possible contingencies in a real electrical network. The grid infrastructure adopts a brokering service, based on an economy-driven model, to satisfy the quality of service constraints specified by the user (i.e., a time deadline to simulate the contingencies). This paper also discusses the deployment of the infrastructure on a network of heterogeneous clusters and PCs to compute the contingency analysis of a realistic electrical network. The experimental results obtained demonstrate the effectiveness of the proposed solution and the potential role of grid computing in supporting intensive computations in power systems.
机译:电力系统的最佳控制和管理需要对可能危害其运行的现象进行广泛的分析,以便评估其对电网安全性和可靠性水平的影响。对于复杂的网络,此过程称为电力系统突发事件分析,需要大量的计算工作,而对于所需的信息,计算时间应少于几分钟。尽管在文献中已经广泛提出了许多基于常规并行和分布式系统的体系结构,但它们的特点是可扩展性,重用性和可伸缩性低,因此,当需要更多的计算资源时,它们需要合理的硬件升级。在电力系统中这种情况并不罕见,在电力系统中,电网复杂性的不断增长以及对工厂基础设施的更高安全性和可靠性水平的需求导致需要在更短的时间内进行更详细的应变分析。为了解决这个问题,本文提出了一种普遍的网格方法,该方法定义了一种用户友好的软件基础结构,用于从电网获取数据和进行数据处理,以模拟实际电网中可能发生的意外情况。网格基础设施采用基于经济驱动模型的代理服务,以满足用户指定的服务质量约束(即模拟突发事件的时间期限)。本文还讨论了在异构集群和PC网络上的基础设施部署,以计算实际电网的偶然性分析。获得的实验结果证明了所提出解决方案的有效性以及网格计算在支持电力系统密集计算中的潜在作用。

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