基于基因表达式编程的电力负荷建模

张建宾; 章健

张建宾,章健.基于基因表达式编程的电力负荷建模[J].电测与仪表,2015,52(24):.
ZHANG Jian-bin,ZHANG Jian.Power load model based on Gene Expression Programming[J].Electrical Measurement & Instrumentation,2015,52(24):.

基于基因表达式编程的电力负荷建模

Power load model based on Gene Expression Programming

DOI：

中文关键词: 电力系统负荷建模基因表达式编程

英文关键词:power system, load model, Gene Expression Programming

基金项目:

作者中文名	作者英文名	单位
张建宾	ZHANG Jian-bin	郑州大学电气工程学院
章健	ZHANG Jian	郑州大学电气工程学院

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中文摘要:

电力负荷模型在电力系统规划、设计、运行和控制中具有重要的作用。但由于电力负荷本身具有随机性、时变性、非线性等复杂特性,使得负荷建模问题始终未能得到很好的解决。本文研究的主要对象是一种新的智能优化搜索算法——基因表达式编程(简称GEP),它不依赖工作人员过多的工作经验,更不需要事先规定好目标函数结构。利用GEP算法进行编程,程序可以自动地帮我们找出数据内部之间隐含的关系,从而实现函数的自动建模,进而找到最优的负荷模型。

英文摘要:

power load model plays an important role in power system planning, design, operation and control. however, because of some complex characteristics of power load, such as randomness, time-varying, nonlinear, the problem of load model has not been solved properly. The main object of this study is a new intelligent optimization search algorithm--- Gene Expression Programming (GEP), it doesn’t rely on worker’s too much experience, not to mention the need to specify the objective function structure in advance. By using the algorithm of GEP, program can automatically help us find hidden relationships between data inside, thus the automatic modeling of function comes true, and then we can find the optimal load model.

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