Integrating PowerWorld and MatLab for agent-based modeling and simulation of competitive electric power markets

2014 IEEE PES T&D Conference and Exposition Pub Date : 2014-04-14 DOI:10.1109/TDC.2014.6863507

Dong Zhang, Shuhui Li

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引用次数: 1

Abstract

The transition to agent-based competitive wholesale and retail markets for electric utilities around the world has been a difficult and controversial process. One of the difficulties that hindered the growth of a competitive power market is the absence of efficient computational tools to assist the design, analysis and operation of the power market. Although many commercial software packages have been developed for a broad study of an electric power system, these power system simulators are usually not designed in such a way that can be used for analysis and evaluation of an agent-based competitive power market. This paper investigates mathematical models associated with a competitive power market and how these models can be converted in such a way that makes it possible to use commercial power system software for agent-based modeling and simulation of a competitive power market. The paper also develops a mechanism to integrate PowerWorld and MatLab for combined optimal power dispatch and agent-based learning interactions. Finally, the paper demonstrates a case study for a competitive electric power system using the integrated software system.

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集成PowerWorld和MatLab进行基于主体的电力市场竞争建模与仿真

全球电力公司向以代理为基础的竞争性批发和零售市场过渡一直是一个困难而有争议的过程。阻碍竞争性电力市场发展的困难之一是缺乏有效的计算工具来辅助电力市场的设计、分析和运行。虽然已经开发了许多商业软件包用于电力系统的广泛研究，但这些电力系统模拟器的设计通常不能用于基于代理的竞争性电力市场的分析和评估。本文研究了与竞争性电力市场相关的数学模型，以及如何将这些模型转换为能够使用商业电力系统软件对竞争性电力市场进行基于代理的建模和仿真的方法。本文还开发了一种集成PowerWorld和MatLab的机制，用于结合最优电力调度和基于智能体的学习交互。最后，以某竞争性电力系统为例，介绍了该集成软件系统的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 IEEE PES T&D Conference and Exposition

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