电子科技 ›› 2021, Vol. 34 ›› Issue (12): 49-55.doi: 10.16180/j.cnki.issn1007-7820.2021.12.009

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基于优化灰色傅里叶残差修正的中长期负荷预测

朱健安1,魏云冰1,朱鹏杰2,蒋成成1,朱成名1   

  1. 1.上海工程技术大学 电子电气工程学院,上海 201620
    2.郑州轻工业大学 建筑环境工程学院,河南 郑州 450000
  • 收稿日期:2020-08-26 出版日期:2021-12-15 发布日期:2021-12-06
  • 作者简介:朱健安(1995-),男,硕士研究生。研究方向:电力系统负荷预测。|魏云冰(1970-),男,博士,教授。研究方向:电力设备在线监测与故障诊断。
  • 基金资助:
    国家自然科学基金(51507157)

Medium and Long-Term Load Forecasting Based on Optimized Grey Fourier Residual Correction

ZHU Jian'an1,WEI Yunbing1,ZHU Pengjie2,JIANG Chengcheng1,ZHU Chengming1   

  1. 1. School of Electronic and Electrical Engineering,Shanghai University of Engineering Science, Shanghai 201620,China
    2. College of Building Environment Engineering,Zhengzhou University of Light Industry,Zhengzhou 450000,China
  • Received:2020-08-26 Online:2021-12-15 Published:2021-12-06
  • Supported by:
    National Natural Science Foundation of China(51507157)

摘要:

针对电力系统中长期负荷预测精度不高的问题,文中提出改进粒子群优化的灰色傅里叶残差修正的中长期电力负荷预测模型。该模型利用三点平滑法对原始负荷数据进行预处理,削弱了异常值的影响。采用改进粒子群优化的灰色模型对原始负荷进行预测,解决了预测数据不足和预测精度不高的问题。通过傅里叶变换对预测误差进行修正,提高了预测精度。浙江某地区2013~2018年年度负荷预测结果显示,采用该方法后,平均负荷预测精度提高了1.94%,证明该模型在中长期负荷预测中具有较高的精度和可行性。

关键词: 负荷预测, 灰色模型, 粒子群, 傅里叶, 残差修正, 三点平滑法, 预处理, 傅里叶变换

Abstract:

In view of the problem of low accuracy of mid- and long-term load forecasting in power systems, a gray Fourier residual correction modified particle swarm optimization model for mid- and long-term power load forecasting is proposed. The model uses a three-point smoothing method to preprocess the original load data to weaken the influence of outliers. The gray model of improved particle swarm optimization is adopted to predict the original load, which solves the problems of insufficient forecast data and low forecast accuracy. Fourier transform corrects the prediction error and greatly improves the prediction accuracy. The results of the annual load forecasting in a certain area of Zhejiang from 2013 to 2018 show that the average load forecasting accuracy has increased by 1.94%, which indicates that the model has high accuracy and feasibility in medium and long-term load forecasting.

Key words: load forecasting, gray model, particle swarm, Fourier, residual correction, three-point smoothing method, preprocessing, Fourier transfor

中图分类号: 

  • TM715
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