OpenGridGym：一个开源的AI友好的分销市场模拟工具包
OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation
摘要：
本文介绍了OpenGridGym，一个基于Python的开源软件包，允许分销市场模拟与最先进的人工智能（AI）决策算法的无缝集成。我们提出的架构和设计选择建议的框架，详细说明用户如何与OpenGridGym进行交互，并通过提供多个案例来展示其使用，突出其价值。在任何模拟中使用四个模块：（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）连接和协调上述三者的环境模块。我们为这四个模板中的每一个都提供了模板，但是它们可以很容易地与自定义替代品互换。几个案例研究，以说明该工具包的能力和潜力，帮助研究人员解决关键的设计和运营问题，在配电电力市场。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
