Electric power system state estimation method taking into account new energy time-space relevance
A spatiotemporal correlation, power system technology, applied in electrical components, circuit devices, AC network circuits, etc., can solve problems such as inability to real-time, effective, and accurate state estimation, inability to reflect the dynamic characteristics of power grids, etc.
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Embodiment 1
[0074] Embodiment 1: as attached figure 1 , 2 , 3, the power system state estimation method considering the space-time correlation of new energy includes the following steps:
[0075] Step 1: Read the grid information data, and obtain the node admittance matrix and branch-node correlation matrix according to the read grid information data. The grid information data includes historical state estimation data, current network parameters of the power system, topology Structure and line impedance, then enter the second step;
[0076] Step 2: Grid system measurement and configuration, establish the measurement functions of voltage amplitude measurement, power injection measurement and power flow measurement according to the node admittance matrix and branch-node correlation matrix, and calculate the measurement according to the measurement function z k , according to the measurement z k Configure the system state, the measurement z of the grid system k Including node voltage am...
Embodiment 2
[0135] as attached Figure 4 , 5 , 6, 7, and 8 show the invention in the attached Figure 4 Tested on the IEEE 30-node system in , where the measurement error is assumed to obey the mean value of 0 and the variance of 10 -6 Gaussian distribution, after the test simulation, the final test results of the voltage amplitude and phase angle of each node are shown in the attached Figure 7 and 8 shown; and then use the traditional static estimation method in the attached Figure 4 The test is carried out on the IEEE 30-node system. After the test simulation, the final test results of the voltage amplitude and phase angle of each node are shown in the attached Figure 5 and 6 shown; attached Figure 5 , 6 , 7, and 8, it can be seen that compared with the traditional state estimation method, the present invention has higher estimation accuracy and can track the operating state of the system in real time.
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