Optimization of Wind Turbine Rotor Diameters and Hub Heights in a Windfarm Using Differential Evolution Algorithm

被引：8
|
作者：
Biswas, Partha P. [1 ]
Suganthan, P. N. [1 ]
Amaratunga, Gehan A. J. [2 ]
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
[2] Univ Cambridge, Dept Engn, Cambridge, England
来源：
PROCEEDINGS OF SIXTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING, SOCPROS 2016, VOL 2 | 2017年 / 547卷
基金：
新加坡国家研究基金会;
关键词：
Windfarm layout; Wind turbine rotor diameter; Hub height; Differential evolution (DE) algorithm; Efficiency; Cost function; LAYOUT OPTIMIZATION; GENETIC ALGORITHM;
D O I：
10.1007/978-981-10-3325-4_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper some of the optimized wind turbine layouts in a windfarm, as presented by many authors, have been chosen as basis for further evaluation and study. The objective of most of earlier studies was to minimize cost per kW of power produced. This paper focuses from different perspective of optimization of turbine rotor diameters and hub heights to improve overall windfarm efficiency at a reduced cost. Differential Evolution (DE) algorithm is employed to optimize rotor diameters and hub heights of turbines in a windfarm.
引用
收藏
页码：131 / 141
页数：11
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