OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation
OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation
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DOI：
10.1109/tsg.2022.3213240
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发表时间：
2022-03
影响因子：
9.6
通讯作者：
Rayan El Helou;Kiyeob Lee;Dongqi Wu;Le Xie;S. Shakkottai;V. Subramanian
中科院分区：
文献类型：
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作者：
Rayan El Helou;Kiyeob Lee;Dongqi Wu;Le Xie;S. Shakkottai;V. Subramanian
本文介绍了OpenGridgym，这是一种基于Python的开源软件包，可与最新的人工智能（AI）决策算法无缝集成分销市场模拟。我们为提出的框架提供了架构和设计选择，详细介绍了用户如何与OpenGridgyM互动，并通过提供多种情况以证明其使用来强调其价值。在任何模拟中使用四个模块：（1）物理网格，（2）市场机制，（3）一组与前两个模块相互作用的可训练代理，以及（4）连接和协调以上三个的环境模块。我们为这四个中的每一个提供模板，但是它们很容易与自定义替代方案互换。提出了一些案例研究，以说明该工具包帮助研究人员解决分销电力市场中的关键设计和操作问题的能力和潜力。
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.