Multi-objective genetic algorithm based innovative wind farm layout optimization method

2015 ◽  
Vol 105 ◽  
pp. 1318-1327 ◽  
Author(s):  
Ying Chen ◽  
Hua Li ◽  
Bang He ◽  
Pengcheng Wang ◽  
Kai Jin
Keyword(s):  
Genetic Algorithm ◽  
Wind Farm ◽  
Optimization Method ◽  
Layout Optimization ◽  
Wind Farm Layout ◽  
Multi Objective ◽  
Wind Farm Layout Optimization ◽  
Multi Objective Genetic Algorithm

Multi-Objective Wind Farm Layout Optimization Considering Energy Generation and Noise Propagation With NSGA-II

2014 ◽  
Vol 136 (9) ◽  
Author(s):  
Wing Yin Kwong ◽  
Peter Yun Zhang ◽  
David Romero ◽  
Joaquin Moran ◽  
Michael Morgenroth ◽  
...  
Keyword(s):  
Wind Farm ◽  
Wind Farms ◽  
Energy Generation ◽  
Health Impact ◽  
Layout Optimization ◽  
Nsga Ii ◽  
Design Constraint ◽  
Wind Farm Layout ◽  
Multi Objective ◽  
Wind Farm Layout Optimization

Recently, the environmental impact of wind farms has been receiving increasing attention. As land is more extensively exploited for onshore wind farms, they are more likely to be in proximity with human dwellings, increasing the likelihood of a negative health impact. Noise generation and propagation remain an important concern for wind farm's stakeholders, as compliance with mandatory noise limits is an integral part of the permitting process. In contrast to previous work that included noise only as a design constraint, this work presents continuous-location models for layout optimization that take noise and energy as objective functions, in order to fully characterize the design and performance spaces of the wind farm layout optimization (WFLOP) problem. Based on Jensen's wake model and ISO-9613-2 noise calculations, single- and multi-objective genetic algorithms (GAs) are used to solve the optimization problem. Results from this bi-objective optimization model illustrate the trade-off between energy generation and noise production by identifying several key parts of Pareto frontiers. In particular, it was observed that different regions of a Pareto front correspond to markedly different turbine layouts. The implications of noise regulation policy—in terms of the actual noise limit—on the design of wind farms are discussed, particularly in relation to the entire spectrum of design options.

Wind farm layout optimization using genetic algorithm and its application to Daegwallyeong wind farm

JMST Advances ◽  
2019 ◽  
Vol 1 (4) ◽  
pp. 249-257 ◽  
Author(s):  
Jeong Woo Park ◽  
Bo Sung An ◽  
Yoon Seung Lee ◽  
Hyunsuk Jung ◽  
Ikjin Lee
Keyword(s):  
Genetic Algorithm ◽  
Wind Farm ◽  
Layout Optimization ◽  
Wind Farm Layout ◽  
Wind Farm Layout Optimization

The impact of land use constraints in multi-objective energy-noise wind farm layout optimization

2016 ◽  
Vol 85 ◽  
pp. 359-370 ◽  
Author(s):  
Sami Yamani Douzi Sorkhabi ◽  
David A. Romero ◽  
Gary Kai Yan ◽  
Michelle Dao Gu ◽  
Joaquin Moran ◽  
...  
Keyword(s):  
Land Use ◽  
Wind Farm ◽  
Layout Optimization ◽  
Wind Farm Layout ◽  
Multi Objective ◽  
Wind Farm Layout Optimization ◽  
The Impact

Constrained multi-objective wind farm layout optimization: Novel constraint handling approach based on constraint programming

2018 ◽  
Vol 126 ◽  
pp. 341-353 ◽  
Author(s):  
Sami Yamani Douzi Sorkhabi ◽  
David A. Romero ◽  
J. Christopher Beck ◽  
Cristina H. Amon
Keyword(s):  
Constraint Programming ◽  
Wind Farm ◽  
Layout Optimization ◽  
Constraint Handling ◽  
Wind Farm Layout ◽  
Multi Objective ◽  
Wind Farm Layout Optimization
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