在状态估计中合并常规测量和相量测量:多准则视角

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP) Pub Date : 2017-09-01 DOI:10.1109/ISAP.2017.8071423

B. Tavares, V. Freitas, Vladimiro Miranda, Antonio Simões Costa

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引用次数: 3

摘要

本文提出了一种用于电力系统状态估计的传感器融合方法，分析了由pmu的常规测量和相量测量组成的数据集的情况。该方法基于多准则决策概念。建立了属性空间L1度量与Bar-Shalom-Campo融合模型结果的等价性。本文表明，新的融合建议允许理解将不同程度的信心或信任归因于两个系统的后果。案例研究提供了对新模型的深入了解。

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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Merging conventional and phasor measurements in state estimation: A multi-criteria perspective

This paper presents a new proposal for sensor fusion in power system state estimation, analyzing the case of data sets composed of conventional measurements and phasor measurements from PMUs. The approach is based on multiple criteria decision-making concepts. The equivalence of an L1 metric in the attribute space to the results from a Bar-Shalom-Campo fusion model is established. The paper shows that the new fusion proposal allows understanding the consequences of attributing different levels of confidence or trust to both systems. A case study provides insight into the new model.

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2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)

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