This paper presents OpenGridGym, an open-source Python-based package that allows for seamless integration of distribution market simulation with state-of-the-art artificial intelligence (AI) decision-making algorithms. We present the architecture and design choice for the proposed framework, elaborate on how users interact with OpenGridGym, and highlight its value by providing multiple cases to demonstrate its use. Four modules are used in any simulation: (1) the physical grid, (2) market mechanisms, (3) a set of trainable agents which interact with the former two modules, and (4) environment module that connects and coordinates the above three. We provide templates for each of those four, but they are easily interchangeable with custom alternatives. Several case studies are presented to illustrate the capability and potential of this toolkit in helping researchers address key design and operational questions in distribution electricity markets.

中文翻译：

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OpenGridGym：用于分销市场模拟的开源 AI 友好工具包

本文介绍了 OpenGridGym，这是一个基于 Python 的开源软件包，可以将分销市场模拟与最先进的人工智能 (AI) 决策算法无缝集成。我们展示了所提出框架的体系结构和设计选择，详细说明了用户如何与 OpenGridGym 交互，并通过提供多个案例来展示其使用来突出其价值。任何模拟都使用四个模块：（1）物理网格，（2）市场机制，（3）一组与前两个模块交互的可训练代理，以及（4）连接和协调上述三个模块的环境模块. 我们为这四个中的每一个都提供了模板，但它们很容易与自定义替代品互换。