Pilot node selecting method based on wind electric power fluctuation probability characters
A technology of wind power fluctuations and dominant nodes, applied in wind power generation, single-network parallel feed arrangement, etc., can solve the problem that the dominant node cannot reflect the representativeness of regional voltage
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Embodiment 1
[0072] Embodiment 1: IEEE3 machine 9 node system calculation example.
[0073] Replace node 3 in the IEEE3 machine 9-node system with a wind farm, the system structure is as follows figure 2 shown.
[0074] Table 1 Active load table of each node under peak, waist and valley loads. The peak, waist and valley typical load per unit values of nodes 5, 6 and 8 are shown in Table 1. The power factor is 0.98. The rated capacity of wind power is 30% of the total load in the maximum load mode.
[0075] Table 1
[0076]
[0077] According to the measured data of a wind field in Shandong Power Grid, the injected power is calculated according to the power interval of 10% of the rated capacity of the wind field, and the probability distribution of the peak and mid-valley load periods is shown in Table 2. Probability distribution table. Because there is only one random variable, the probability of the random operation state of the system is the same as that in Table 2. The pea...
Embodiment 2
[0089] Embodiment 2: Calculation example of New England39 node test system.
[0090] The structure of the New England39 node system is as follows: image 3 shown.
[0091] The initial load of each node is regarded as the valley load operating state, and all multiplied by the proportional coefficients 1.3 and 1.7 to form the waist load and peak load operating states. Randomly select nodes 2, 7 and 16 to connect to the wind farm. The injected power of each wind field adopts the same historical data as the calculation example in 3.1, and the rated capacity of each wind field is set at 12% of the total peak load active power.
[0092] If the power interval of the calculation example in Embodiment 1 is followed, the total number of random states of the system is 3×9×9×9=2187, which brings a large amount of calculation for subsequent optimization calculations. In order to control the number of random operating states, the power interval is 50%, that is, the injected power of the ...
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