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Graph Computing based Distributed State Estimation with PMUs

机译:基于图计算基于PMU的分布式状态估计

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Power system state estimation plays a fundamental and critical role in the energy management system (EMS). To achieve a high performance and accurate system states estimation, a graph computing based distributed state estimation approach is proposed in this paper. Firstly, a power system network is divided into multiple areas. Reference buses are selected with PMUs being installed at these buses for each area. Then, the system network is converted into multiple independent areas. In this way, the power system state estimation could be conducted in parallel for each area and the estimated system states are obtained without compromise of accuracy. IEEE 118-bus system and MP 10790-bus system are employed to verify the results accuracy and present the promising computation performance.
机译:电力系统状态估计在能量管理系统(EMS)中起着基本和关键作用。为实现高性能和精确的系统状态估计,本文提出了一种基于图计算的分布式状态估计方法。首先,电力系统网络被分成多个区域。选择参考总线,使用PMU安装在这些公共汽车上为每个区域。然后,系统网络被转换为多个独立区域。以这种方式,功率系统状态估计可以与每个区域并行进行,并且获得估计的系统状态而不会妥协精度。 IEEE 118总线系统和MP 10790总线系统用于验证结果准确性并呈现有前途的计算性能。

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