A historical distribution network state estimator using smart distribution transformer meters

Lin, Yuping; Wu, Zhenjie; Liao, Pei Hung; Li, Chengda; Yang, Ying; Li, Suirong

doi:10.1109/powercon53785.2021.9697618

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…The AMI system uses smart meters instead of RTUs as measurement acquisition units, collecting energy data with high precision [19]. The smart meters only freeze the energy data at 0:00 every day, and the metering center reads the smart meters in turn during the rest of the time.…”

Section: Energy Data Of Amimentioning

confidence: 99%

Distribution Joint State Estimation with Multiple Snapshots Based on SCADA and AMI Measurements

Cheng¹,

Zhang²,

Dong

et al. 2022

J. Phys.: Conf. Ser.

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To adapt to the distribution network unobservable problem from the scarcity of real-time measurements, the distribution system state estimation (DSSE) method based on hybrid measurements of the supervisory control and data acquisition (SCADA) and the advanced metering infrastructure (AMI) is proposed. Firstly, the ratio of energy data from AMI is used to construct pseudo-measurements, which satisfies the observability of DSSE. Secondly, multiple SCADA acquisition snapshots joint state estimation model is constructed by the SCADA measurements and the energy data of AMI with multiple snapshots. In a rectangular coordinate system, the joint state estimation model and the weighted least squares (WLS) method are described in quadratic polynomial form, leading to a quadratic constraint quadratic estimation (QCQE) model. The QCQE model can decouple the modeling and algorithm implementation of state estimation and enhance the efficiency of algorithm implementation significantly. Otherwise, more state estimation mature algorithms can be adopted for the joint state estimation model in quadratic polynomial form. Simulations on the IEEE 33-bus system verify the accuracy and effectiveness of the proposed method.

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Section: Energy Data Of Amimentioning

confidence: 99%