一种考虑噪声的海上风电场布局和布线的多目标优化方法
By combining a two-layer optimization method with NSGA-III and DMST algorithms, the problem of balancing economic benefits and noise impact in the optimization of offshore wind farm layout was solved, achieving more efficient wind farm layout and wiring, and improving the overall economic benefits and power quality of wind farms.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUILIN UNIVERSITY OF TECHNOLOGY
- Filing Date
- 2023-03-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for optimizing the layout of offshore wind farms have failed to effectively balance the economic benefits, power quality, and environmental impact of noise from wind farms, making it difficult to improve overall economic benefits while reducing noise.
A two-layer optimization method based on the NSGA-III algorithm, combined with the Dynamic Minimum Spanning Tree (DMST) algorithm, is adopted. By considering the location of wind turbines and cable design in a two-layer structural optimization model, the DEMP NSGA-III algorithm is used to implement a hybrid breeding strategy in different environments to balance population diversity and convergence, thereby optimizing the layout and wiring of wind farms.
This approach achieves improved overall economic benefits of wind farms while reducing noise, enhances the convergence and diversity of the solution set, identifies better wind turbine placement locations and cable layouts, and optimizes the annual power generation and power quality of wind farms.
Smart Images
Figure CN116341226B_ABST