Wind Farm Turbine Type and Placement Optimization

The Science of Making Torque from Wind

Graf, Peter^1 ; Dykes, Katherine^1 ; Scott, George^1 ; Fields, Jason^1 ; Lunacek, Monte^1 ; Quick, Julian^1 ; Rethore, Pierre-Elouan^1

Computational Science Center, National Renewable Energy Laboratory, United States^1

关键词: Code validation;    Constrained continuous global optimizations;    Mixed integer problems;    Nonconvex;    Optimization problems;    Placement optimization;    Wind farm;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/753/6/062004/pdf
DOI  :  10.1088/1742-6596/753/6/062004

来源: IOP

【 摘 要 】

The layout of turbines in a wind farm is already a challenging nonlinear, nonconvex, nonlinearly constrained continuous global optimization problem. Here we begin to address the next generation of wind farm optimization problems by adding the complexity that there is more than one turbine type to choose from. The optimization becomes a nonlinear constrained mixed integer problem, which is a very difficult class of problems to solve. This document briefly summarizes the algorithm and code we have developed, the code validation steps we have performed, and the initial results for multi-turbine type and placement optimization (TTP-OPT) we have run.