Realistic wind farm design layout optimization with different wind turbines types

Naima Charhouni,Khalifa Mansouri,Mohammed Sallaou

doi:10.1007/s40095-019-0303-2

Abstract

Seeking for an appropriate design of wind farm (WF) layout constitutes a complex task in a wind energy project. An optimization approach is seriously needed to deal with this complexity, especially with current trend of large WFs area with important number of wind turbines (WTs). The present paper investigates optimization study of realistic offshore WF design layout (horns-rev1). The main objective of the current study is to design WF area that maximizes the extraction of wind power with low cost. In the first step, an optimization model using genetic algorithm with continuous layout representation is developed to look for the optimal design as a function of WTs placement. The effectiveness of such a methodology is validated and compared with the reference and irregular layout of hors-rev1 offshore WF. With the aim to analyze the impact of WTs types on WF objectives, four commercial WTs are considered in the second step. The results showed that designing WF with big WTs gives best design layout. In addition, it demonstrated that selecting WTs based uniquely on rotor diameter size is not always a good idea. It should includes as well the number of WTs that influence significantly the power production and WF cost.

Highlights

The important interest and efforts devoted by government, energy production, industries and academic research to electricity production from renewable and clean energy with the maturity of existed technologies justify the biggest exploitation of wind energy over the recent years
Step 4: Generation of new wind farm layout The population of WF layouts that results from applying genetic algorithm (GA) operators produces new design solution that will replace the old population
All steps above are repeated to ensure the generation of new population of feasible design layout at each iteration of optimization process until reaching the maximum number of iterations

Summary

Introduction

The important interest and efforts devoted by government, energy production, industries and academic research to electricity production from renewable and clean energy with the maturity of existed technologies justify the biggest exploitation of wind energy over the recent years. It gives rise to maintenance cost and diminishes the power production of downstream turbines In this regard and in order to mitigate the wake effect among each WTs placement, wind farm design layout optimization (WFDLO) remains the best strategy to maximize WF performances. The main objective conducted by these works is developing numerical algorithms that maximize power/energy production (in other words decreases the wake effect) and minimize the cost while satisfying certain constraints These algorithms are based on different optimization techniques in which heuristic methods widely used. A few works tacked the optimization problem considering the impact of rotor diameter size and estimate WF cost as a function of this crucial design variable but cannot be exploited For these reasons, we aim to contribute in the present study to investigate new optimization of WF design layout including these following points:.

Optimization methodology

Evaluation of FOBJ

Conclusion

31. The Wind Power