Multi-target planning method for power grid of wind farms based on improved NSGA-II
A multi-objective planning, wind farm technology, applied in the direction of instruments, sustainable buildings, data processing applications, etc., can solve the problems of ineffective coordination of optimization degree, etc., to achieve enhanced global search capabilities, improved convergence, and reasonable optimization results Effect
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Embodiment 1
[0061] 101: Construct a wind farm output model;
[0062] 102: Calculate the flicker value caused by the wind turbine at the common connection point;
[0063] 103: Construct the objective function with the shortest total length of the line and the smallest flicker value at the public access point of the wind farm;
[0064] 104: Achieve multi-objective planning for power grids containing wind farms through the NSGA-II algorithm, output model and objective function based on the NDX operator.
[0065] Among them, in step 104, the steps of achieving multi-objective planning of the power grid containing wind farms through the NDX operator-based NSGA-II algorithm, output model, and objective function are specifically:
[0066] Probabilistic power flow analysis through DC power flow calculation and constraint conditions;
[0067] Based on the non-inferior solution level and the crowded distance, the round selection operator is used to screen individuals;
[0068] The selected individuals are cros...
Embodiment 2
[0077] The multi-objective optimization process of the improved NSGA-II algorithm based on the NDX operator designed by the present invention is as follows figure 1 As shown, the following is a detailed description of the improved NSGA-II-based multi-objective planning method for wind power grids containing wind farms in conjunction with the accompanying drawings, and the feasibility of this method is illustrated in conjunction with experiments. See the following description for details:
[0078] 201: Construct a wind farm output model;
[0079] The wind speed adopts Weibull distribution, and its function is described in formula (6):
[0080] f ( v ) = k c ( v c ) k - 1 exp [ - ( v c ) k ] - - - ( 6 )
[0081] In the formula, v represents the wind speed, and c and k are the scale parameters and shape parameters of the Weibull distribution respectively, which can be solved by formula (7):
[0082] c = ...
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