基于RAGA-PPM的电能质量综合评估方法

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摘要电能质量的综合评估是解决各种电能质量问题的前提。投影寻踪法（PPM）能够很好地解决现有电能质量评估中出现的指标多,指标上下联系结构复杂,指标体系呈现出高维、非线性特性等问题。搭建了一个基于加速遗传优化的投影寻踪法（RAGA-PPM）的电能质量综合评估模型,通过构造投影指标函数并利用加速遗传算法（RAGA）对其进行优化来完成电能质量的综合评估。加速遗传算法通过将上代遗传优秀个体的解空间作为下代遗传个体的搜索空间来不断缩小待优化变量的搜索空间,进而达到加速处理的目的。该模型的评估过程简单通用,便于计算机编程,且综合评估结果精度高、客观真实。

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	李华
	贺鹏举
	景丽婷
	李玲玲
	段超颖

关键词 ：电能质量, 综合评估模型, 加速遗传算法, 投影寻踪法, RAGA-PPM

Abstract：Power quality comprehensive evaluation is the premise of solving all kinds of power quality problems. The projection pursuit method(PPM) can solve problems of excesive power quality evaluation indexes, complicated structures, the high-dimensional and non-linear index system. The method sets up a power quality comprehensive evaluation model based on projection pursuit method of real-coded accelerating genetic algorithm(RAGA-PPM). In order to complete power quality comprehensive evaluation, the model need construct a projection index function and optimize it through real-coded accelerating genetic algorithm(RAGA). RAGA is able to narrow the searching space of variables to be optimized through treating the solution space of the former excellent generations as the searching space of the next generations, then achieve accelerated processing. The evaluation process of the model shows the simple and universal method which is simple for computer programming and has the accurate objective evaluation results.

Key words： Power quality comprehensive evaluation model RAGA PPM RAGA-PPM

收稿日期: 2013-10-11 出版日期: 2014-05-22

PACS:

TM732

基金资助:河北省科技支撑计划资助项目(12212173), 天津市高等学校科技发展基金计划项目（20130423）

引用本文:

李华, 贺鹏举, 景丽婷, 李玲玲, 段超颖. 基于RAGA-PPM的电能质量综合评估方法[J]. 电工技术学报, 2013, 28(2增): 349-353. Li Hua, He Pengju, Jing Liting, Li Lingling, Duan Chaoying. The Method of Power Quality Comprehensive Evaluation Based on Projection Parsuit. Transactions of China Electrotechnical Society, 2013, 28(2增): 349-353.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2013/V28/I2增/349

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作者简介:李华女, 1969年生, 硕士, 研究方向为控制科学与工程。贺鹏举男, 1988 年生, 硕士研究生, 研究方向为电器可靠性及检测技术。李玲玲女, 1968 年生, 教授, 博士生导师, 研究方向为电力系统及其自动化、电器可靠性。