A synchronization methodology for 3D offshore wind farm layout optimization with multi-type wind turbines and obstacle-avoiding cable network

Offshore wind farms are increasingly becoming the focus of clean sources market because of the huge energy potential and fast-maturing technology. The existing researches normally optimize the wind turbine layout and two-dimensional cable routing independently. This work focuses on the synchronizati...

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Bibliographic Details
Published in:Renewable energy Vol. 185; pp. 302 - 320
Main Authors: Wu, Yan, Xia, Tianqi, Wang, Yufei, Zhang, Haoran, Feng, Xiao, Song, Xuan, Shibasaki, Ryosuke
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.02.2022
Subjects:
algorithm
algorithms
Ant colony optimization
Cable network
Cable networks
Cable routing
Cables
case studies
Electric utilities
energy
Energy dissipation
Genetic algorithms
Heuristic algorithms
Hybrid method
landscapes
Layer model
Linear programming
markets
Meta-heuristic algorithms
Meta-heuristics algorithms
methodology
Multi-type wind turbine
network analysis
Obstacle-avoiding
Offshore oil well production
Offshore wind farm
Offshore wind farms
optimization
power generation
Seabed terrain
Site selection
spatial data
system optimization
three-dimensional modeling
Turbine layouts
wind
wind farm
Wind farm layout optimizations
wind farms
wind turbine
Wind turbines
Cable network
Meta-heuristic algorithms
Offshore wind farm
Seabed terrain
Multi-type wind turbine
ISSN:0960-1481, 1879-0682, 1879-0682
Online Access:Get full text
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Summary:Offshore wind farms are increasingly becoming the focus of clean sources market because of the huge energy potential and fast-maturing technology. The existing researches normally optimize the wind turbine layout and two-dimensional cable routing independently. This work focuses on the synchronization optimization of site selection of the offshore wind farm, three-dimensional wind turbine layout and three-dimensional cable network routing based on meta-heuristic algorithms and geographic information systems. Several practical issues, i.e., restricted areas, power generation, cable network and energy loss, are taken into consideration. A two-layer model is proposed. The outer layer model is for the site selection and the wind turbine layout optimization. The inner layer model is for the obstacle-avoiding cable routing optimization. In this stage, the seabed terrain is considered for the first time. The proposed integrated model is complex and non-convex. Thus, a hybrid method including an improved ant colony optimization combined with genetic algorithm, dual-simplex method and Kruskal algorithm is proposed to search the solution more efficiently. The initialization stage of the hybrid method is improved from random assignment to directional assignment. The directional solution is obtained by the widely used genetic algorithm. A case study based on a real offshore wind farm is established to prove the effectiveness of the proposed methodology. The results show an over one million dollars increase in annual benefit compared with conventional methods.
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content type line 23
ISSN:0960-1481
1879-0682
1879-0682
DOI:10.1016/j.renene.2021.12.057