Self-learning-based micro-grid protection method
A micro-grid and self-learning technology, applied in the comprehensive application of electronic technology, network communication technology, and relay protection technology, can solve problems such as unsuitable short-circuit faults, achieve good resolution, high sampling frequency, and improve safety sexual effect
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Embodiment 1
[0041] The steps of the microgrid protection method based on self-learning in this embodiment are as follows (for the flow chart, see Figure 4 ):
[0042] Step 1. Real-time sampling of the full current I and system frequency f of the microgrid line. The sampling frequency range of the line current and system frequency is 2400Hz, that is, 48 sampling points per cycle, and calculate the total harmonic current I ∑ and fundamental current I, total harmonic current I ∑ Including at least the second, third and fifth harmonic current components, I 2 is the second harmonic current component, I 3 is the third harmonic component of the current, I 5 is the fifth harmonic current component.
[0043] Step 2. Judging the total harmonic current I on the microgrid line within the time range of [T,T+△T] ∑ Whether there is a sudden increase, if it is determined that the total harmonic current has increased sharply, execute the judgment in step 3, otherwise return to step 1.
[0044] ...
Embodiment 2
[0051] The method of this embodiment is basically the same as that of Embodiment 1, the main difference is that in the second step, this example uses the following formula to determine whether the total harmonic current has increased sharply:
[0052] I Σ 2 I 2 ′ - I Σ 1 I 1 ′ > Δ 2
[0053] In the formula, I ∑2 is the total harmonic current at T+△T time, I′ 2 is the fundamental current at T+△T time, I ∑1 is the total harmonic current at time T, I′ 1 is the fundamental current at time T, △ 2 is the preset auxiliary criterion threshold, and its value range is 2-10.
[0054] The dynamic updating method of the auxiliary criterion th...
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