Paper Title. Optimization of Electrical System for a Large DC Offshore Wind Farm by Genetic Algorithm. M. Zhao, Z. Chen, F. Blaabjerg Institute of Energy Technology, Aalborg University. Contents. Introduction Optimization Model Genetic Optimization Application Example Summary. Background.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Optimization of Electrical System for a Large DC Offshore Wind Farm by Genetic Algorithm
M. Zhao, Z. Chen, F. Blaabjerg
Institute of Energy Technology, Aalborg University
Objective Obj_Value = Cost - α(Rsys - Rmin)
λ: Failure rate
r: Repair duration
1. >= 1 Operative paths
2. N Operative paths (√)N = Number of WT
3. >=M Operative paths (+) M < N
C is a constant which determines how the improvement of fitness will influence G
N Population size 20
MAX_G Maximum generation 70
Pc Probability of crossover 0.6
Pm,init Initial probability of mutation 0.1
Pm,step Step value of Pm. 0.0018
Rmin Reliability threshold 0.5
αPenalty coefficient 40
C Replacement Ratio 5
Bias Bias coefficient in selection 2.0
‘Network Data’ and ‘Component Parameters’
For Your Attention!