Distribution system state estimation using phasor measurement units

Alves, Guilherme O.; Pereira, J.L.R.; Garcia, P.A.N.; Souza, Matheus Almeida; Moreira, Tamiris Gomes; Nascimento, P. S. C.; Carneiro, S.

doi:10.1109/cpe.2016.7544172

Cited by 2 publications

(1 citation statement)

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“…On the basis of the SCADA measurement system, PMU devices have also appeared in the distribution network, and the data accuracy has improved. In reference [3], the author proposed a state estimation method for distribution network systems with high-precision PMU measurement data, but the establishment of the method did not specify the specific details of its construction. In reference [4], the author also highlights the role of high-precision PMU data for state estimation, and analyzes the advantages and disadvantages of state estimation in polar and rectangular coordinate systems.…”

Section: Introductionmentioning

confidence: 99%

State Estimation of Distribution Network Considering Data Compatibility

Wu¹,

Li²

2020

EPE

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Considering that the measurement devices of the distribution network are becoming more and more abundant, on the basis of the traditional Supervisory Control And Data Acquisition (SCADA) measurement system, Phasor measurement unit (PMU) devices are also gradually applied to the distribution network. So when estimating the state of the distribution network, the above two devices need to be used. However, because the data of different measurement systems are different, it is necessary to balance this difference so that the data of different systems can be compatible to achieve the purpose of effective utilization of the estimated power distribution state. To this end, this paper starts with three aspects of data accuracy of the two measurement systems, data time section and data refresh frequency to eliminate the differences between system data, and then considers the actual situation of the three-phase asymmetry of the distribution network. The three-phase state estimation equations are constructed by the branch current method, and finally the state estimation results are solved by the weighted least square method.

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Section: Introductionmentioning

confidence: 99%