用于分析和解释偶然性分析结果的图形交互和可视化

R. Bacher
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引用次数: 19

摘要

在现代能源管理系统(EMS)中,应急分析是一项众所周知的功能。该电力系统分析功能的目标是向操作员提供有关网络静态安全状态的信息。从技术上讲,这是通过运行尽可能多的潮流情况来实现的,因为网络中可能存在单元件应急场景,包括线路、变压器和发电机。虽然不再提出任何数学问题,但偶然性分析是一个非常关键的功能,因为在偶然性分析运行期间会产生大量的信息。在今天的EMS中,这个问题是通过提供表格信息来解决的,该表格信息指出了由哪种偶然性引起的过载。但是,如果存在重载,则操作符不会得到任何支持。对于必须采取哪些行动,没有提供任何帮助。此外,潜在的电力系统问题仍有待解决。对于这个问题,通常没有单一的最佳答案。本文通过描述一种基于图像可视化和偶然性分析产生的整套数据交互的工具集来认识到这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graphical interaction and visualization for the analysis and interpretation of contingency analysis results
Contingency analysis is a well known function in modern energy management systems (EMS). The goal of this power system analysis function is to give the operator information about the static security status of the network. Technically this is achieved by running as many power flow cases as there are possible single element contingency scenarios in the network including lines, transformers and generators. Although no longer posing any mathematical problems, contingency analysis is a very critical function because of the overwhelming amount of information created during contingency analysis runs. In today's EMS, this problem is solved by giving tabular information indicating the overloads caused by which contingency. However, if there are overloads the operator does not get any support. There is no help offered as to which actions must be taken. Also the question of the underlying power system problem remains answered. There is usually no single best answer to this problem. This is recognized in this paper by describing a toolset based on image visualization and interaction of the whole set of data coming out of contingency analysis.
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