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基于改进灰色模型的配电网规划负荷预测分析

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为了进一步提高配电网规划中的中长期负荷预测的水平,提出了一种改进的灰色预测模型.通过对原始数据的特性分析,获得多个建模数据组,构建多个GM(1,1)模型,采用多个模型加权共同表征负荷数据的变化特性.对实际数据的建模结果证明该模型具有很好的预测精度.同时,与传统的灰色模型、线性和二次回归模型对比,模型具有最小的负荷预测误差,可以实现较为理想的预测效果.该研究可以有效改善电力系统规划中的负荷预测水平.
Distribution Network Planning Load Forecasting Analysis Based on Improved Grey Model
In order to further improve the level of medium and long term load forecasting in distribution network planning,an improved grey forecasting model was proposed.By analyzing the characteristics of the original data,multiple modeling data sets are obtained,and multiple GM(1,1)models are constructed,and the variation characteristics of load data are characterized jointly by multiple models.The modeling results of actual data show that the model has good prediction accuracy.At the same time,compared with the traditional grey model,linear regression model and quadratic regression model,the model has the smallest error of load forecasting,and can achieve a better forecasting effect.This research can effectively improve the level of load forecasting in power system planning.

distribution networkload forecastinggrey modelpower system rules

马阳阳、张建功、陈宇、徐阳阳、张泽逊

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国网河北省电力有限公司沧州供电分公司,河北 沧州 061000

配电网 负荷预测 灰色模型 电力系统规则

2024

青海电力
青海电力科学试验研究院 青海省电机工程学会

青海电力

影响因子:0.26
ISSN:1006-8198
年,卷(期):2024.43(2)
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