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.

本研究介绍 OpenGridGym，一个基于 Python 的开源模拟软件包，能够将分布式市场模拟与最先进的人工智能决策算法进行无缝集成。该工具通过多个案例展示了其价值，并提供了多个模块用于模拟电力网格，市场机制和环境等。旨在帮助研究人员解决配电市场的关键设计和操作问题。