Combined Minimum Spanning Tree and Particle Swarm Optimization for the Design of the Cable Layout in Offshore Wind Farms

2021 ◽  
pp. 85-95
Author(s):  
Chakib El Mokhi ◽  
Adnane Addaim
Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 644
Author(s):  
Yuanhang Qi ◽  
Peng Hou ◽  
Guisong Liu ◽  
Rongsen Jin ◽  
Zhile Yang ◽  
...  

Offshore wind energy, as one of the featured rich renewable energy sources, is getting more and more attention. The cable connection layout has a significant impact on the economic performance of offshore wind farms. To make better use of the wind resources of a given sea area, a new method for optimal construction of offshore wind farms with different types of wind turbines has emerged in recent years. In such a wind farm, the capacities of wind turbines are not identical which brings new challenges for the cable connection layout optimization. In this work, an optimization model named CCLOP is proposed for such wind farms. The model incorporates both the cable capital cost and the cost of power losses associated with the cables in its objective function. To get an optimized result, a Voronoi diagram based adaptive particle swarm optimization with local search is proposed and applied. The simulation results show that the proposed method can help find a solution that is 12.74% outperformed than a benchmark.


2017 ◽  
pp. 1185-1208
Author(s):  
Shuangxin Wang ◽  
Guibin Tian ◽  
Dingli Yu ◽  
Yijiang Lin

It is realized that the topological structure of the particle swarm optimization (PSO) algorithm has a great influence on its optimization ability. This paper presents a new dynamic small-world neighborhood PSO (D-SWPSO) algorithm whose neighbourhood structure can be constructed with any irregular initial networks. The choice of the learning exemplar is not only based upon the big clustering coefficient and the average shortest distance for a regular network, but also based upon the eigenvalues of Laplacian matrix for irregular networks. Therefore, the D-SWPSO is a PSO algorithm based on small-world topological neighbourhood with universal significance. The proposed algorithm is tested by some typical benchmark test functions, and the results confirm that there is a significant improvement over the basic PSO algorithm. Finally, the algorithm is applied to a real-world optimization problem, the economic dispatch on the IEEE30 system with wind farms. The results demonstrate that the proposed D-SWPSO is a practically feasible and effective algorithm.


Sign in / Sign up

Export Citation Format

Share Document