Hierarchical planning method for a power distribution network containing a distributed power supply
A technology of distributed power supply and hierarchical planning, applied in resources, instruments, computing models, etc., can solve problems such as low accuracy, lack of models, and difficult solutions
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[0101] The method is verified based on the IEEE33 node system. The initial network structure is as Figure 6 Shown: The solid line is the existing branch, the dotted line is the branch that can be built, the total active load of the system is 3715kW, and the total reactive load is 2300kVar. The DG installation nodes to be selected are 1, 4, 5, 6, 7, 8, 10, 12, 18, 20, 21, 23, 25, 28, and 30. The PSCO algorithm parameters are set as follows: the maximum number of iterations is 100, the population size is 50, and the learning factor C 1 =C 2 = 1, the maximum weight ω max = 1.2, minimum weight ω min =0.5, annealing constant σ=0.6.
[0102] The planning parameters involved in the objective function are as follows: fixed investment annual average cost conversion coefficient β 1 = 0.131, ROI λ 1 =0.5, annual operation and maintenance rateγ 1 =0.655; Conversion coefficient β of fixed investment annual average cost of DG construction 2 = 0.138, return on investment λ 2 =0.5,...
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