Proceedings ArticleDOI
Modelling of wind farm layout based on analytical distance variant method
Ch. Priyanka,R. Vijayapriya,P. Raja +2 more
- pp 1-6
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TLDR
In this article, a simple analytical method using design variable as distance between any two turbines for a given wind farm is proposed, which involves simple calculations subjected to varying distances among wind turbines.Abstract:
A tremendous potential has been shown by wind energy for the power generation in recent decade. The wind turbines with electrical machines placed in the wind farm generates bulk power. The efficient layout of the wind farm plays an important role for extracting maximum energy from these wind farms and this layout decides the location of each turbine in the wind farm. This paper proposes a simple analytical method using design variable as distance between any two turbines for a given wind farm. Unlike non-linear optimization methods like Genetic Algorithm(GA) and Particle Swarm Optimization(PSO) algorithm, the proposed method involves simple calculations subjected to varying distances among wind turbines. Layout of wind farms is analyzed with fixed wind speed-prevailing single wind direction for the proposed method and the results have been compared with the traditional methods, GA and PSO.read more
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Proceedings ArticleDOI
Optimization of Wind Farm Layout Based on Wake Effect Modelling
TL;DR: This paper presents a model for the optimal placement of wind turbines in a given farm area to maximize the output power with a minimum number of turbines, using simple distance calculations and sorting algorithms to place the turbines.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Placement of wind turbines using genetic algorithms
TL;DR: In this article, a genetic algorithm approach is employed to obtain optimal placement of wind turbines for maximum production capacity while limiting the number of turbines installed and the acreage of land occupied by each wind farm.
Journal ArticleDOI
Optimization of wind turbine positioning in large windfarms by means of a genetic algorithm
TL;DR: In this paper, a novel approach to the optimization of large windfarms is presented, where the wind turbine distribution at a given site is optimized in order to extract the maximum energy for the minimum installation costs.
Journal ArticleDOI
Optimization of wind farm turbines layout using an evolutive algorithm
Javier Serrano González,Ángel Gaspar González Rodríguez,José Castro Mora,Jesús Manuel Riquelme Santos,Manuel Burgos Payán +4 more
TL;DR: In this article, an evolutive algorithm to optimize the wind farm layout is proposed, which is based on a global wind farm cost model using the initial investment and the present value of the yearly net cash flow during the entire wind-farm life span.