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基于人工免疫算法的电力负荷预测综合模型
引用本文:王大成,高赐威,程浩忠,奚珣,朱杰,张涌.基于人工免疫算法的电力负荷预测综合模型[J].华东电力,2004,32(3):15-18.
作者姓名:王大成  高赐威  程浩忠  奚珣  朱杰  张涌
作者单位:上海交通大学,电气工程系,上海,200030;上海市电力公司,浦东供电分公司,上海,200122
基金项目:国家自然科学基金(No.50177017),高等学校优秀青年教师教学科研奖励计划资助
摘    要:将电力负荷预测综合模型中各单一电力负荷预测模型的最优权重作为抗原,将权重的解作为抗体,通过模拟生物免疫系统的工作原理来搜索最优权重,提出了基于人工免疫算法的电力负荷预测综合模型。应用该模型于某地区负荷预测的实例中,并与基于遗传算法的综合模型和基于直接搜索寻优法的综合模型进行比较、分析。结果表明,该模型具有全局寻优能力好、预测精度高等优点。

关 键 词:电力系统  人工免疫算法  负荷预测  综合模型
文章编号:1001-9529(2004)03-0015-04
修稿时间:2003年9月10日

Comprehensive model of power load forecasting based on artificial immune algorithm
WANG Da-cheng,GAO Ci-wei,CHENG Hao-zhong,XI Xun,ZHU Jie,ZHANG Yong.Comprehensive model of power load forecasting based on artificial immune algorithm[J].East China Electric Power,2004,32(3):15-18.
Authors:WANG Da-cheng  GAO Ci-wei  CHENG Hao-zhong  XI Xun  ZHU Jie  ZHANG Yong
Affiliation:WANG Da-cheng~1,GAO Ci-wei~1,CHENG Hao-zhong1,XI Xun~2,ZHU Jie~2,ZHANG Yong~2
Abstract:Taking the optimal weighting of every individual power load forecasting model in the comprehensive model of power load forecasting as antigen and taking the solution of the weighting as antibody, the comprehensive model of power load forecasting based on artificial immune algorithm was put forward through simulating the working principle of biological immune system to search optimal weighting. The model was applied in load forecasting of a certain area and was compared with two other comprehensive models based on genetic algorithm and direct search method respectively. The result showed that this model based on artificial immune algorithm has the advantages of excellent capability of optimal weighting searching and high accuracy of forecasting.
Keywords:electric power system  artificial immune algorithm  load forecasting  comprehensive model
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