| 一种复合算法在短期负荷预测中的应用 |
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| 引用本文： | 赵宇红,张韵辉.一种复合算法在短期负荷预测中的应用[J].自动化与仪表,2011,26(5). |
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| 作者姓名： | 赵宇红 张韵辉 |
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| 作者单位： | 1. 南华大学,电气工程学院,衡阳,421001
2. 深圳东方锅炉控制有限公司,深圳,518057 |
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| 基金项目： | 湖南省科技计划资助项目 |
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| 摘 要： | 为提高电力系统短期负荷预测精度,文中提出一种基于改进遗传算法优化的径向基函数神经网络短期电力负荷预测模型,该模型采用改进的选择策略、自适应交叉和变异概率防止出现早熟现象;将自适应交叉和变异操作的改进遗传算法与梯度下降法混合交互运算,作为径向基函数神经网络的学习算法,将上述模型和算法应用于某地区电网的短期负荷预测,取得良好的预测效果.
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| 关 键 词： | 负荷预测 改进遗传算法 径向基函数 |
Application of A Complex Algorithm to Short-term Load Forecasting |
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| ZHAO Yu-hong,ZHANG Yun-hui.Application of A Complex Algorithm to Short-term Load Forecasting[J].Automation and Instrumentation,2011,26(5). |
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| Authors: | ZHAO Yu-hong ZHANG Yun-hui |
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| Affiliation: | ZHAO Yu-hong1,ZHANG Yun-hui2(1.College of Electrical Engineering,University of South China,Hengyang 421001,China,2.Eastern Boiler Control Co.,Ltd.,Shenzhen 518057,China) |
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| Abstract: | In order to improve short term load forecasting accuracy,this paper presents a improved genetic algorithm based on improved radial basis function neural network short term load forecasting model.This model uses an improved selection strategy,adaptive crossover and mutation to prevent premature;the adaptive crossover and mutation of the improved genetic algorithm and gradient descent mixed interactive operation,as the radial basis function neural network learning algorithm.The above model and the algorithm a... |
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| Keywords: | load forecasting improved genetic algorithm radial basis function |
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