ETX:一种用于交互能源系统设计的灵活仿真框架

Shida Zhang, Daniel May, Peter Atrazhev, M. Gül, A. Leach, Timothy M. Weis, P. Musílek
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引用次数: 2

摘要

近年来,小型分布式能源装置的快速增长令人震惊。然而,这些装置给电网带来了压力。本文介绍了ETX模拟框架,该框架允许对市场、操作和法规之间的相互作用进行协调、可重复的研究。此外,ETX是人工智能(AI)研究的绝佳环境,可以对基于AI的代理进行有效模拟。这一点至关重要,因为电网变得更加动态和复杂,使人类无法直接参与能源交易和管理。最后,通过对能源交易系统中个体参与者的行为建模,ETX为未来电力市场的设计提供了定量比较工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ETX: A Flexible Simulation Framework for Design of Transactive Energy Systems
The rapid growth in the installations of small scale, distributed energy resources in the recent years is astonishing. However, these installations are putting strain on the grid. This paper introduces the ETX simulation framework that allows for coordinated, repeatable studies of interactions between market, operations, and regulations. In addition, ETX is an excellent environment for artificial intelligence (AI) research that allows effective simulation of (AI)-based agents. This is crucial as the grid becomes more dynamic and complex, precluding direct human involvement in energy trading and management. Finally, through modeling behavior of individual participants in transactive energy systems, ETX provides quantitative comparisons instrumental for design of future electricity markets.
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