A simplified, efficient approach to hybrid  wind and solar plant site optimization

Tripp, Charles; Guittet, Darice; King, Jennifer; Barker, Aaron

doi:https://doi.org/10.5194/wes-7-697-2022

Articles | Volume 7, issue 2

https://doi.org/10.5194/wes-7-697-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-7-697-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 7, issue 2

Research article

|

25 Mar 2022

Research article |

| 25 Mar 2022

A simplified, efficient approach to hybrid wind and solar plant site optimization

Charles Tripp, Darice Guittet, Jennifer King, and Aaron Barker

Data sets

Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit C. Draxl, B. Hodge, A. Clifton, and J. McCaa https://doi.org/10.2172/1214985

Model code and software

Hybrid Optimization and Performance Platform (HOPP) D. Guittet, C. Tripp, J. King, A. Barker, M. Boyd, B. Hamilton, and M. Rossol https://doi.org/10.11578/dc.20210326.1

System Advisor Model (SAM) General Description (Version 2017.9.5) N. J. Blair, N. A. DiOrio, J. M. Freeman, P. Gilman, S. Janzou, T. W. Neises, and M. J. Wagner https://doi.org/10.2172/1440404

Short summary

Hybrid solar and wind plant layout optimization is a difficult, complex problem. In this paper, we propose a parameterized approach to wind and solar hybrid power plant layout optimization that greatly reduces problem dimensionality while guaranteeing that the generated layouts have a desirable regular structure. We demonstrate that this layout method that generates high-performance, regular layouts which respect hard constraints (e.g., placement restrictions).