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This procedure is repeated for each cycle of oscillation until the transients are suppressed.
On the other hand, it increases its virtual damping in the whole cycle of oscillation as shown in Fig. 9b.
The virtual damping is self-tuning to keep a larger value in the whole cycle of oscillation according to (11).
Considering (6), the value of D is increasing with the absolute value of ∆ω multiplied by k d during the whole cycle of oscillation.
In addition, by using increased virtual damping during the whole cycle of oscillation, both the deviation and the overshoot of system frequency are reduced effectively.
It can be seen that the ST-VSG makes its virtual inertia equal to zero in the deceleration phases as shown in Fig. 16a, and increases its virtual damping during the whole cycle of oscillation as shown in Fig. 16b.
Similar(52)
During each cycle of oscillations, the value of J is switched four times.
During each cycle of oscillations, the value of inertia is switched between a big moment of inertia and a small one for four times.
First, we divided a cycle of oscillations into time intervals (I i j in Figure 2).
For simplicity, we assume n = 3 and Eq (1) becomes (22) d x 1 d t = β 1 ⋅ θ (K 3, x 3 ) - α 1 x 1 d x 2 d t = β 2 ⋅ θ (x 1, K 1 ) - α 2 x 2 d x 3 d t = β 3 ⋅ θ (x 2, K 2 ) - α 3 x 3 An example of the dynamics is shown in Figure 2. First, we divide a cycle of oscillations into time intervals (I i j in Figure 2).
In event A, KAK data exhibits approximately three cycles of oscillation, but TIX and KTN data show different variations.
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