...
首页> 外文期刊>Industry Applications, IEEE Transactions on >Multistage Optimal PMU Placement Considering Substation Infrastructure
【24h】

Multistage Optimal PMU Placement Considering Substation Infrastructure

机译:考虑变电站基础设施的多阶段最优PMU放置

获取原文
获取原文并翻译 | 示例
           

摘要

Phasor measurement units (PMUs) significantly benefit the operation and control of power systems. They offer precise phasor measurements with a high refresh rate. These measurements are utilized for wide-area measurement system to improve situational awareness and enhance the control infrastructure. In spite of these advantages, the industry has been reluctant to adopt PMU technology, largely due to the high cost of PMUs and the communication infrastructure. However, judicious selection of PMU locations through optimal placement of PMUs (OPP) enables the minimization of installation cost. There have been several approaches to solve the OPP problem most of which assume that the minimum number of PMUs achieves the minimum cost or consider the cost of PMUs without considering the communication infrastructure. This paper presents an OPP approach that considers both the communication infrastructure and the installation cost of PMUs. The proposed approach uses multistage installation where each stage is dependent on the cost set by the utility instead of the number of PMUs. Higher priority buses can be chosen under the proposed approach. An opposition-based elitist binary genetic algorithm is used to solve the OPP problem. The proposed approach is tested on the IEEE reliability test system, and on the IEEE 14-bus, 30-bus, and 118-bus test systems.
机译:相量测量单元(PMU)大大有利于电力系统的运行和控制。它们提供具有高刷新率的精确相量测量。这些测量用于广域测量系统,以提高态势感知并增强控制基础结构。尽管具有这些优势,但由于PMU和通信基础设施的高昂成本,业界一直不愿采用PMU技术。但是,通过优化PMU(OPP)位置来明智地选择PMU位置可以使安装成本最小化。存在几种解决OPP问题的方法,其中大多数假设最小数量的PMU达到最小成本,或者在不考虑通信基础设施的情况下考虑PMU的成本。本文提出了一种OPP方法,该方法同时考虑了通信基础设施和PMU的安装成本。所提出的方法使用多级安装,其中每个级取决于公用事业公司设定的成本,而不是PMU的数量。在建议的方法下可以选择更高优先级的总线。基于对立的精英二进制遗传算法用于解决OPP问题。所提出的方法已在IEEE可靠性测试系统以及IEEE 14总线,30总线和118总线测试系统上进行了测试。

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