Next Article in Journal
Transplanting Coral Fragments in Close Contact Enhances Their Survival and Growth on Seawalls
Previous Article in Journal
Coupling with the Embedded Boundary Method in a Runge-Kutta Discontinuous-Galerkin Direct Ghost-Fluid Method (RKDG-DGFM) Framework for Fluid-Structure Interaction Simulations of Underwater Explosions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Multi-Objective Optimisation of the Benchmark Wind Farm Layout Problem

by
Pawel L. Manikowski
*,
David J. Walker
and
Matthew J. Craven
School of Engineering, Computing and Mathematics, Faculty of Science and Engineering, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2021, 9(12), 1376; https://doi.org/10.3390/jmse9121376
Submission received: 21 October 2021 / Revised: 24 November 2021 / Accepted: 30 November 2021 / Published: 3 December 2021
(This article belongs to the Special Issue Selected Papers from the 8th PRIMaRE Conference 2021)

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.
Keywords: wind farm optimisation problem; multi-objective optimisation; wind power; wake effect; NSGA-II; PESA-II; SPEA2 wind farm optimisation problem; multi-objective optimisation; wind power; wake effect; NSGA-II; PESA-II; SPEA2

Share and Cite

MDPI and ACS Style

Manikowski, P.L.; Walker, D.J.; Craven, M.J. Multi-Objective Optimisation of the Benchmark Wind Farm Layout Problem. J. Mar. Sci. Eng. 2021, 9, 1376. https://doi.org/10.3390/jmse9121376

AMA Style

Manikowski PL, Walker DJ, Craven MJ. Multi-Objective Optimisation of the Benchmark Wind Farm Layout Problem. Journal of Marine Science and Engineering. 2021; 9(12):1376. https://doi.org/10.3390/jmse9121376

Chicago/Turabian Style

Manikowski, Pawel L., David J. Walker, and Matthew J. Craven. 2021. "Multi-Objective Optimisation of the Benchmark Wind Farm Layout Problem" Journal of Marine Science and Engineering 9, no. 12: 1376. https://doi.org/10.3390/jmse9121376

APA Style

Manikowski, P. L., Walker, D. J., & Craven, M. J. (2021). Multi-Objective Optimisation of the Benchmark Wind Farm Layout Problem. Journal of Marine Science and Engineering, 9(12), 1376. https://doi.org/10.3390/jmse9121376

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop