A fuzzy-logic-supported weighted least squares state estimation

Faridoon Shabani; Nadipuram R. Prasad; Howard A. Smolleck

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A fuzzy-logic-supported weighted least squares state estimation

机译：模糊逻辑支持的加权最小二乘状态估计

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摘要

This paper presents a new approach to power system state estimation based on the application of fuzzy logic. Significant improvements in state estimates are achieved (relative to the weighted least squares algorithm) by using a hybrid estimator incorporating fuzzy-logic concepts. The design of the fuzzy estimator is described. The approach is illustrated for two sample systems: a 6-bus network and the 30-bus IEEE test system. Numerical and graphical results are presented to illustrate the superiority of the new method.

机译：本文提出了一种基于模糊逻辑的电力系统状态估计新方法。通过使用结合了模糊逻辑概念的混合估计器，可以实现状态估计的显着改善（相对于加权最小二乘算法）。描述了模糊估计器的设计。该方法针对两个示例系统进行了说明：6总线网络和30总线IEEE测试系统。数值和图形结果表明了该方法的优越性。

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来源
《Electric power systems research》 |1996年第1期|p.55-60|共6页
作者
Faridoon Shabani; Nadipuram R. Prasad; Howard A. Smolleck;
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作者单位

The Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, Las Cruces, NM 88003, USA;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类理论与分析;发电、发电厂;
关键词
fuzzy logic; power systems; state estimation;

机译：模糊逻辑;电力系统;状态估计;

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机译：使用加权最小二乘（WLS）和规则化加权最小二乘（RWLS）方法的电力系统状态估计
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机译：使用加权最小二乘（WLS）和规则化加权最小二乘（RWLS）方法的电力系统状态估计
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A fuzzy-logic-supported weighted least squares state estimation

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