A two-level approach for three-dimensional micro-siting optimization of large-scale wind farms

Mengxuan Song, Kai Chen and Jun Wang

Energy, 2020, vol. 190, issue C

Abstract: For three-dimensional micro-siting of large-scale wind farms, it is difficult for the traditional once-and-for-all approach to search for optimal solutions when tuning all the turbine locations and heights simultaneously. In this paper, a two-level optimization approach is presented for three-dimensional micro-siting optimization of large-scale wind farms. The proposed approach uses a hierarchical structure, where the wind farm is considered as a compound that consists of several blocks with identical sizes. A multi-objective algorithm is used to optimize one block, producing a set of block candidates. Then the compound-level algorithm optimizes the whole wind farm layout by searching among all possible combinations of the block candidates. The proposed approach is tested on 24 cases with different choices and combinations of objective, wind scenario and number of turbines. The results show that the proposed method can significantly reduce the difficulty of searching for the optimal solution, and demonstrates noticeable improvements than the traditional one-level approach.

Keywords: Wind farm; Micro-siting; Multi-objective optimization (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544219320353
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:190:y:2020:i:c:s0360544219320353

DOI: 10.1016/j.energy.2019.116340

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().