论文标题
Dieterpy：带有内生可再生能源的调度和投资评估工具的Python框架
DIETERpy: a Python framework for The Dispatch and Investment Evaluation Tool with Endogenous Renewables
论文作者
论文摘要
Dieter是一种开源电力部门模型，旨在分析具有可变可再生能源份额非常高的未来环境。它最大程度地减少了整体系统成本，包括各种一代，灵活性和行业耦合选项的固定成本和可变成本。在这里，我们介绍了基于现有模型版本的Dieterpy，该版本以一般代数建模系统（GAMS）编写，并通过Python框架来增强它。这结合了Python在数据预处理和后处理数据的灵活性与GAM中的直接代数配方和有效求解器的使用。 Dieterpy还提供基于浏览器的图形用户界面。该新框架旨在易于访问，因为它使用户能够运行模型，更改其配置，并在没有更深入了解游戏的情况下定义了许多方案。根据宽敞的透明度和可重复性，可以在公共存储库中获得代码，数据和手册。
DIETER is an open-source power sector model designed to analyze future settings with very high shares of variable renewable energy sources. It minimizes overall system costs, including fixed and variable costs of various generation, flexibility and sector coupling options. Here we introduce DIETERpy that builds on the existing model version, written in the General Algebraic Modeling System (GAMS), and enhances it with a Python framework. This combines the flexibility of Python regarding pre- and post-processing of data with a straightforward algebraic formulation in GAMS and the use of efficient solvers. DIETERpy also offers a browser-based graphical user interface. The new framework is designed to be easily accessible as it enables users to run the model, alter its configuration, and define numerous scenarios without a deeper knowledge of GAMS. Code, data, and manuals are available in public repositories under permissive licenses for transparency and reproducibility.
