Integration of artificial intelligence applications in the EMS: issues and solutions

J. Bann, G. Irisarri, D. S. Kirschen, B. N. Miller, S. Mokhtari
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引用次数: 21

Abstract

This paper discusses the issues which must be addressed when integrating artificial intelligence (AI) and, in particular, expert system applications in an energy management system (EMS) environment. It is argued that these issues can be resolved by creating an environment which supports all the interfaces between the AI applications and the EMS. This environment should also be responsible for maintaining a model of the power system common to all the AI applications. Once this environment has been created, AI applications can be easily "plugged" into the EMS. The design of such an environment is described and case studies are provided to illustrate.
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EMS中人工智能应用的集成:问题和解决方案
本文讨论了在能源管理系统(EMS)环境中集成人工智能(AI),特别是专家系统应用时必须解决的问题。有人认为,这些问题可以通过创建一个支持AI应用程序和EMS之间所有接口的环境来解决。该环境还应负责维护所有AI应用程序共同的电力系统模型。一旦创建了这个环境,就可以很容易地将AI应用程序“插入”到EMS中。描述了这种环境的设计,并提供了案例研究来说明。
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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Development of the Intercontrol Center Communications Protocol (ICCP) [power system control] Hydropower generation management under uncertainty via scenario analysis and parallel computation Optimal fuzzy inference for short-term load forecasting Long-term/mid-term resource optimization of a hydro-dominant power system using interior point method The design of next generation SCADA systems
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