Variable-weight weighted power flow entropy calculation method based on load interval division
A calculation method and technology of interval power flow, applied to AC networks and electrical components of the same frequency with different sources, can solve problems such as inability to reflect load differences, inability to accurately describe the real situation of lines, etc., to avoid network cascading failures, improve The effect of characterization ability, fast and accurate load rate
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Embodiment 1
[0061] This embodiment implements the method of the present invention by analyzing various situations of power system line loads, and the algorithm flow is as follows figure 1 shown. The following curves are obtained to simulate the line load rate distribution, where μ max = 1.2, the line load rate is divided into T 1 [0,0.4], T 2 [0.4,0.8] and T 3 [0.8,1.2] Three intervals, listing several typical load probability distribution curves, including three types.
[0062] (1) Line load rate distribution type with a large proportion of light and heavy load lines
[0063] Figure 2(a) shows the two types of probability distribution curves with light and heavy load lines taking a large proportion, and the load rate is at T 1 , T 2 higher probability. Figure 3(a) and Figure 3(b) are the comparisons of the two power flow entropies when the line is in the light and heavy load intervals respectively. It can be seen that when the line is in the light and heavy load range, the variab...
Embodiment 2
[0083] The present invention adopts the IEEE-33 node network for calculation example analysis, and the network includes 32 common branches and 5 contact branches. According to the tertile points of the original network load probability distribution, the line load rate can be divided into T 1 [0,0.2], T 2 [0.2,0.5] and T 3 [0.5,1.2] three intervals. Based on the particle swarm optimization algorithm, the network topology is optimized and reconstructed. By comparing the changes of the two power flow entropies before and after the network reconstruction, the superiority of the weighted power flow entropy with variable weight is reflected. The prior art solution mainly determines the weighted value through the active power flow of each line to calculate the power flow entropy value of the line. Topology structure before and after refactoring see Figure 7(a)-Figure 7(c) , Figure 7(a) is the original network before reconstruction, Figure 7(b) is the network after reconstruction...
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