scholarly journals Optimal Placement of Wind Turbines in Wind Farm Layout Using Particle Swarm Optimization

2021 ◽  
Vol 9 (2) ◽  
pp. 367-375
Author(s):  
Philip Asaah ◽  
Lili Hao ◽  
Jing Ji
Keyword(s):  
Particle Swarm Optimization ◽  
Wind Turbines ◽  
Wind Farm ◽  
Particle Swarm ◽  
Optimal Placement ◽  
Swarm Optimization ◽  
Wind Farm Layout

scholarly journals Wind Farm Layout Optimization with Different Hub Heights in Manjil Wind Farm Using Particle Swarm Optimization

2021 ◽  
Vol 11 (20) ◽  
pp. 9746
Author(s):  
Menova Yeghikian ◽  
Abolfazl Ahmadi ◽  
Reza Dashti ◽  
Farbod Esmaeilion ◽  
Alireza Mahmoudan ◽  
...  
Keyword(s):  
Power Generation ◽  
Particle Swarm Optimization ◽  
Wind Turbines ◽  
Wind Farm ◽  
Particle Swarm ◽  
Primary Objective ◽  
Wake Effect ◽  
Optimal Arrangement ◽  
Swarm Optimization ◽  
Wind Farm Layout

Nowadays, optimizing wind farm configurations is one of the biggest concerns for energy communities. The ongoing investigations have so far helped increasing power generation and reducing corresponding costs. The primary objective of this study is to optimize a wind farm layout in Manjil, Iran. The optimization procedure aims to find the optimal arrangement of this wind farm and the best values for the hubs of its wind turbines. By considering wind regimes and geographic data of the considered area, and using the Jensen’s method, the wind turbine wake effect of the proposed configuration is simulated. The objective function in the optimization problem is set in such a way to find the optimal arrangement of the wind turbines as well as electricity generation costs, based on the Mossetti cost function, by implementing the particle swarm optimization (PSO) algorithm. The results reveal that optimizing the given wind farm leads to a 10.75% increase in power generation capacity and a 9.42% reduction in its corresponding cost.

scholarly journals The effect of acceleration coefficients in Particle Swarm Optimization algorithm with application to wind farm layout design

2020 ◽  
Vol 48 (4) ◽  
pp. 922-930
Author(s):  
Shafiqur Rehman ◽  
Salman Khan ◽  
Luai Alhems
Keyword(s):  
Particle Swarm Optimization ◽  
Design Problem ◽  
Wind Farm ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Layout Design ◽  
Energy Output ◽  
Swarm Optimization ◽  
Wind Farm Layout ◽  
The Impact

Wind energy has become a strong alternative to traditional sources of energy. One important decision for an efficient wind farm is the optimal layout design. This layout governs the placement of turbines in a wind farm. The inherent complexity involved in this process results in the wind farm layout design problem to be a complex optimization problem. Particle Swarm Optimization (PSO) algorithm has been effectively used in many studies to solve the wind farm layout design problem. However, the impact of an important set of PSO parameters, namely, the acceleration coefficients, has not received due attention. Considering the importance of these parameters, this paper presents a preliminary analysis of PSO acceleration coefficients using the conventional and a modified variant of PSO when applied to wind farm layout design. Empirical results show that the acceleration coefficients do have an impact on the quality of final layout, resulting in better overall energy output.

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