Method for selecting schemes for power restoration of active power distribution network based on improved genetic algorithm
An improved genetic algorithm and power supply recovery technology, which is applied in the field of selecting active distribution network power supply recovery schemes based on improved genetic algorithms, can solve problems such as difficult to meet fast power supply recovery, achieve real-time power supply recovery decisions, improve calculation speed, and solve problems. The effect of space reduction
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[0036] 1. Mathematical model of power supply restoration of active distribution network:
[0037] The optimization objective F of the power supply restoration decision of the active distribution network is to maximize the restoration of the outage load. The main constraints include power balance constraints, node voltage constraints, branch power constraints, DG output constraints, and feasible network structure constraints. The specific mathematical model is as follows:
[0038] max F = X i A Z x i P i - - - ( 1 )
[0039] s . t . X i A Z k S G min i ≤ X j A Z k S Lj X i A Z k S G max i - - - ( 2 )
[0040] U Li ≤U i ≤U Ui (3)
[0041] S i ≤S maxi (4)
[0042] S Gmini ≤S Gi ≤S Gmaxi (5)
[0043] g i ∈G (6)
[0044] Among them, Z is the power outage area, P i Represents the active power of the i-th outage load, x i It is a 0-1 v...
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