Abstract
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.
Highlights
Concerns over climate change as well as the dwindling resources of fossil fuels have made experts replace renewable energy sources more than before [1,2,3,4,5]
The results of this study demonstrated that by using different hub heights of wind turbines, power generation increased
In order to increase the actual output power of wind farms, the existing wake effect should be minimized. This puts a premium on the placement of wind turbines
Summary
Concerns over climate change as well as the dwindling resources of fossil fuels have made experts replace renewable energy sources more than before [1,2,3,4,5]. Wind energy has become a promising alternative renewable resource for fossil fuels [6,7,8,9,10]. In this regard, wind farms or wind power plants have been developed all over the world to utilize this costeffective energy source even in remote areas with high potentials [11,12,13]. The wake effect can be characterized as wind speed reduction and turbulent flow creation downstream of wind turbines [17,18,19,20] As a result, this impact can reduce power generation by 10–20%. The generated power from each turbine can reach a maximum value with lower associated costs
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