ORCID

Abstract

Wind farm layout optimisation has become a very challenging and widespread problem in recent years. In many publications, the main goal is to achieve the maximum power output and minimum wind farm cost. This may be accomplished by applying single or multi-objective optimisation techniques. In this paper, we apply a single objective hill-climbing algorithm (HCA) and three multi-objective evolutionary algorithms (NSGA-II, SPEA2 and PESA-II) to a well-known benchmark optimisation problem proposed by Mosetti et al., which includes three different wind scenarios. We achieved better results by applying single- and multi-objective algorithms. Furthermore, we showed that the best performing multi-objective algorithm was NSGA-II. Finally, an extensive comparison of the results of past publications is made.

Publication Date

2021-12-03

Publication Title

Journal of Marine Science and Engineering

Volume

9

Issue

12

Embargo Period

2021-12-07

Keywords

Multi-objective optimisation, NSGA-II, PESA-II, SPEA2, Wake effect, Wind farm optimisation problem, Wind power

Download
10.3390/jmse9121376" data-hide-no-mentions="true">

Share

COinS