Minimising the levelised cost of energy and grid impact by multiobjective optimisation of wind turbine sizing J. Serrano González, M. Burgos Payán, J. Riquelme Santos and J. Almeida   2018/04/20

Abstract

This paper introduces a novel methodology to optimise the sizing of wind turbines in order to simultaneously minimising the levelised cost of energy (LCoE) and maximizing the capacity factor (resulting in less intermittence and grid impact). The proposed tool aims at selecting the optimal
combination of the three main design variables (rated power, rotor diameter and hub height) which define the sizing of modern three-bladed wind turbines. The classical design of wind turbines aims at minimizing the LCoE. However, as wind technology has evolved toward bigger wind turbines, and especially toward larger rotors, new site-specific solutions have appeared in the market by finding the optimal combination between rated power, rotor diameter and hub height. This natural optimisation carried out by the wind industry has enabled the deployment of new projects at low-wind locations to be economically viable. However, a similar approach can be addressed not only to
minimise the cost of energy but also the impact of wind intermittency on the electrical grid.

Authors and affiliations

J. Serrano González1, M. Burgos Payán1, J. Riquelme Santos1 and J. Almeida2
1. Department of Electrical Engineering. University of Seville, Spain
2. Faculty of Sciences of Lisbon University, Lisbon, Portugal

Key words

Multi-objective optimization, capacity factor, levelised cost of energy, wind energy, wind turbine.

References

[1] https://www.lmwindpower.com/en/products-andservices/innovate-for-excellence/our-projects/hyller.