基于贪心算法和状态估计的pmu优化布局

Varsha Jaiswal, S. S. Thakur, B. Mishra
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引用次数: 9

摘要

提出了一种新的电力系统状态估计技术。该方案首先利用贪心算法对相量测量单元(PMU)进行最优配置,以降低成本,同时获得系统的完全可观察性。该方法使用线性测量模型直接获得估计状态,不需要任何迭代,从而提高了估计数据库的质量。为了验证该方案的有效性,在标准的IEEE 5总线、14总线、30总线、57总线和118总线测试系统上进行了测试,并给出了测试结果。
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Optimal placement of PMUs using Greedy Algorithm and state estimation
This paper proposes a new technique of state estimation (SE) for electric power systems. In the proposed scheme, the Phasor Measurement Units (PMU) are first placed optimally using Greedy Algorithm for cost reduction, while complete observability of system is also obtained. The SE uses a linear measurement model to obtain the estimated states directly, without any iteration, thereby improves the quality of the estimated data base. To reveal the efficacy of the proposed scheme it has been tested on standard IEEE 5-bus, 14-bus, 30-bus, 57-bus and 118-Bus test systems and the test results are presented.
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