基于模糊贴近度理论的负荷密度指标求取新方法

FU Yang; ZHU Lan; CAO Jialin

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基于模糊贴近度理论的负荷密度指标求取新方法

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- 基于模糊贴近度理论的负荷密度指标求取新方法
- Automation of Electric Power Systems Vol. 31, Issue 19, Pages: 46-49(2007)
- 作者机构：
  
  1. 上海大学机电工程与自动化学院,上海市,200072
  2. 上海电力学院电力与自动化工程学院,上海市,200090
- 作者简介：
- 基金信息：
- DOI：
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- Published：2007
- 稿件说明：
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FU Yang, ZHU Lan, CAO Jialin. [J]. Automation of electric power systems, 2007, 31(19): 46-49.
DOI：

FU Yang, ZHU Lan, CAO Jialin. [J]. Automation of electric power systems, 2007, 31(19): 46-49. DOI：

摘要

现有负荷密度指标的求取方法通常采用经验法或简单类比法，难以满足精度要求。文中引入模糊贴近度理论分类求取负荷密度指标，采用加权海明贴近度算式计算不同等级标准样本及待测区对低水平样本的贴近度，获得负荷密度指标体系划分阈值，并给出待测区参考负荷密度指标值。实例表明，该方法构建合理，概念清晰，计算简便，实用性较强。

Abstract

As the existing methods to obtain load density are often based on experience or simple comparison， the results can hardly meet the accuracy requirements. The theory of fuzzy approach degree is introduced to calculate load density， which adopts weighted Hamming approach degree to calculate approach degree between standard samples of different grades， as well as that between low grade samples in the measuring region. Then thresholds of classifying load density can be obtained， and load density of the measuring region can be got as reference. Examples show that the method is practicable， because of the reasonable method， the clear concept， and simple calculations.

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