Method for estimating state of distribution network for supporting large-scale current measurement
A technology for state estimation and network state, which is applied to electrical components, circuit devices, AC network circuits, etc.
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Embodiment 1
[0099] Example 1: State Estimation of Radial Distribution Network
[0100] The reference value of the calculation example power used in this embodiment is S B =100MVA, the line voltage reference value is V B = 10kV. The main wiring diagram is as Figure 6 shown. On the basis of the original network, there are charging capacitor branches at nodes 18, 47, 52, 58, and 89, and the reactance value is 1000 ohms.
[0101] In order to consider the state estimation results under different measurement error conditions, this embodiment considers adding different levels of normally distributed measurement errors to form the following calculation example:
[0102] Case 1: The mean value of the node voltage and branch current measurement error is 0, and the variance is 0.000001; the mean value of the root node injection power measurement error is 0, and the variance is 0.000001; the mean value of the load power measurement error is 0, and the variance is 0.01.
[0103] In case 2, the e...
Embodiment 2
[0112] Example 2: Weak Ring Distribution Network
[0113] exist figure 1 Based on the distribution network shown, the three branches 70-10, 90-14 and 54-26 are closed to form a weak ring distribution network.
[0114] In order to consider the state estimation results under different measurement error conditions, the embodiment of the present invention considers adding different levels of normally distributed measurement errors to form the following calculation example:
[0115] Case 1: The mean value of node voltage and branch current measurement error is 0, and the variance is 0.000001; the mean value of root node injected power measurement noise is 0, and the variance is 0.000001; the mean value of load power measurement noise is 0, and the variance is 0.01.
[0116] Case 2: The error variance of the load power measurement is increased to 0.05, and the rest of the measurement configuration remains unchanged.
[0117] Case 3: The error variance of the load power measurement...
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