Optimal selected phasor measurement units for identifying multiple line outages in smart grid

Optimal selected phasor measurement units for identifying multiple line outages in smart grid
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用于识别智能电网中多条线路停电的最佳选择相量测量单元

DOI:
10.1109/isgt.2015.7131850
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发表时间:
2015
期刊:
2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
影响因子:
--
通讯作者:
Yiyu Shi
Yiyu Shi
中科院分区:
--
文献类型:
--
作者:
Jie Wu;Jinjun Xiong;Prasenjit Shil;Yiyu Shi

文献摘要

被引文献

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由于通过全球定位系统(GPS)实现时钟同步,相量测量单元(PMU)以更高的精度收集幅度和相位角,这对监测智能电网的大范围性能具有重要意义。由于PMU的安装成本较高,因此研究PMU的最优配置策略对大范围的输电系统状态监测具有重要意义。为了表征线路停电识别的性能,本文首先提出了描述多次线路停电平均识别能力的统计模型。利用该模型,我们开发了一个全局最优的PMU放置策略,以最大限度地提高平均识别能力下的预算PMU。此外,一个贪婪的启发式策略被开发来绕过组合搜索,以实现在降低复杂度的次优解。所提出的方法被用来基准的最佳PMU配置解决方案的IEEE 14和57节点系统。实验研究表明,所提出的技术成功地选择最佳的PMU位置,最大的平均识别能力为目标。结果表明,与随机配置方法相比,所提出的PMU配置策略可使多线路故障的位置识别性能提高约10%。
Thanks to the advent of clock synchronization via the global positioning system (GPS), phasor measurement units (PMUs) collecting both the magnitude and phase angle with higher precision have implications for monitoring performance across the wide area of smart grids. Owing to high PMUs installation costs, developing optimal strategy of PMUs placement is important to monitor the transmission system status in the wide area. To characterize the performance of line outage identification, this paper firstly proposes the statistical model to describe the average identification capability of multiple line outages. Using this model, we develop a global optimal PMUs placement strategy to maximize the average identification capability under the budget of PMUs. Furthermore, a greedy heuristic strategy is developed to bypass the combinatorial search to achieve a sub-optimal solution at a reduced complexity. The proposed methods are used to benchmark the optimal PMU placement solutions for the IEEE 14- and 57-bus systems. The experimental study demonstrates that the proposed techniques successfully select optimal PMU locations, targeting on maximum the average identification capability. The result shows that the proposed PMUs placement strategies improve about 10% location identification performance of multiple line outages when compared to random PMUs placement method.