Abstract
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.
Highlights
The state estimation algorithm mainly improves the accuracy of the state estimation by increasing the redundancy of the data, so the state estimation is called filtering [1]
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 considers the actual situation of the three-phase asymmetry of the distribution network
This article understands that the upload frequency of the three-phase data of the Supervisory Control And Data Acquisition (SCADA) system is on the second level, which is assumed to be 2 seconds, and the upload frequency of the three-phase data of the Phasor measurement unit (PMU) system is on the millisecond level, which is assumed to be 10 ms here
Summary
The state estimation algorithm mainly improves the accuracy of the state estimation by increasing the redundancy of the data, so the state estimation is called filtering [1]. 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 [5], the author believes that there will be a PMU measurement system in the distribution network in the future Using this high-precision system, the error of the state variables is minimized by optimizing the scheme to achieve the purpose of improving the estimation accuracy. In reference [6], the author considers the problem of inconsistent time sections in the transmission process of different measuring devices. In reference [9], the author considered the fusion of PMU data and SCADA data, and used a hybrid state estimation algorithm to solve it, but for the problem of inconsistent time sections, no effective solution was proposed. Based on the three-phase line model of the distribution network, the branch current method is used to estimate the state of the distribution network considering data compatibility
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