--- jupytext: text_representation: extension: .md format_name: myst format_version: 0.13 jupytext_version: 1.13.8 kernelspec: display_name: 'Python 3' name: python3 --- (solar)= # solar Power production from solar into a power system. | | | |---|---| |Input connections|{ref}`busbar`| |Output connections|{ref}`busbar`| |License|SHOP_OPEN| |Release version|15.2.0.0| ```{contents} :local: :depth: 1 ``` ## Examples - [](battery-wind-solar) ## References - Non-linear charge-based battery storage optimization model with bi-variate cubic spline constraints {cite}`Aaslid2020` - Pricing electricity in constrained networks dominated by stochastic renewable generation and electric energy storage {cite}`Aaslid2021` - Stochastic Optimization of Microgrid Operation With Renewable Generation and Energy Storages {cite}`Aaslid2022a` - Stochastic operation of energy constrained microgrids considering battery degradation {cite}`Aaslid2022b` ## Attributes ```{code-cell} ipython3 :tags: ['remove-input', 'full-width'] from IPython.core.display import HTML HTML("""
""") ``` (solar:power_forecast)= ### power_forecast Solar power production forecast. (xUnit: MW, yUnit: MW) (solar:curtailment_cost)= ### curtailment_cost Solar energy curtailment cost. (xUnit: NOK/MWH, yUnit: NOK/MWH) (solar:power_delivered)= ### power_delivered Solar power delivered. (xUnit: MW, yUnit: MW) (solar:power_curtailed)= ### power_curtailed Solar power curtailed. (xUnit: MW, yUnit: MW)