基于经验模态分解和计量经济学模型及混沌模型的短期负荷预测Short-Term Load Forecasting Based on Empirical Mode Decomposition,Econometric Model and Chaotic Model
张金良;谭忠富;
摘要(Abstract):
为提高短期电力负荷的预测精度,提出一种基于经验模态分解、计量经济学模型和神经网络混沌模型的组合预测方法。首先,利用经验模态分解将负荷序列分解成一系列本征模态函数及余项;其次,针对不同分量的特性,建立不同的模型进行预测;最后,将所有分量的预测值求和作为最终的预测结果。以美国宾夕法尼亚州–新泽西州–马里兰州(Pennsylvania-New Jersey-Maryland,PJM)电力市场为实例,验证了普通日负荷和特殊日负荷的预测效果,此外,将该方法与其他预测方法进行了比较,算例表明,该方法具有较高的预测精度。
关键词(KeyWords): 负荷预测;经验模态分解;计量经济学模型;神经网络混沌模型
基金项目(Foundation): 国家自然科学基金项目(70971038);; 高等学校博士学科点专项科研基金资助项目(20070079005)~~
作者(Author): 张金良;谭忠富;
Email:
DOI: 10.13335/j.1000-3673.pst.2011.09.034
参考文献(References):
- [1]Pappas S S,Ekonomou L,Karampelas P,et al.Electricity demand load forecasting of the Hellenic power system using an ARMA model[J].Electric Power Systems Research,2010,28(3):256-264.
- [2]Contreras J,Espinola R,Nogales F J,et al.ARIMA models to predict next-day electricity prices[J].IEEE Trans on Power Systems,2003,18(3):1014-1020.
- [3]陈昊.基于广义自回归条件异方差模型的负荷预测新方法[J].电力系统自动化,2007,31(15):51-54.Chen Hao.A new method of load forecasting based on generalized autoregressive conditional heteroscedasticity model[J].Automation of Electric Power Systems,2007,31(15):51-54(in Chinese).
- [4]Wang Bo,Tai Nengling,Zhai Haiqing,et al.A new ARMAX model based on evolutionary algorithm and particle swarm optimization for short-term load forecasting[J].Electric Power Systems Research,2008,78(10):1678-1685.
- [5]罗滇生,姚建刚,何洪英.基于自适应滚动优化的电力负荷多模型组合预测系统的研究与开发[J].中国电机工程学报,2003,23(5):58-61.Luo Diansheng,Yao Jiangang,He Hongying.Research and development of multi-model combining load forecasting system based on self-adaptive rolling optimization[J].Proceedings of the CSEE,2003,23(5):58-61(in Chinese).
- [6]梁海峰,涂光瑜,唐红卫.遗传神经网络在电力系统短期负荷预测中的应用[J].电网技术,2001,25(1):49-53.Liang Haifeng,Tu Guangyu,Tang Hongwei.Application of genetic algorithm neural network for short term load forecasting of power system[J].Power System Technology,2001,25(1):49-53(in Chinese).
- [7]赵杰辉,葛少云,刘自发.基于主成分分析的径向基函数神经网络在电力系统负荷预测中的应用[J].电网技术,2004,28(5):35-40.Zhao Jiehui,Ge Shaoyun,Liu Zifa.Application of radial basic function network based on principal component analysis in load forecasting[J].Power System Technology,2004,28(5):35-40(in Chinese).
- [8]姜勇.基于模糊聚类的神经网络短期负荷预测方法[J].电网技术,2003,27(2):45-49.Jiang Yong.Short-term load forecasting using a neural network based on fuzzy clustering[J].Power System Technology,2003,27(2):45-49(in Chinese).
- [9]赵登福,庞文晨,张讲社,等.基于贝叶斯理论和在线学习支持向量机的短期负荷预测[J].中国电机工程学报,2005,25(13):9-13.Zhao Dengfu,Pang Wenchen,Zhang Jiangshe,et al.Based on Bayesian theory and online learning SVM for short term load forecasting[J].Proceedings of the CSEE,2005,25(13):9-13(in Chinese).
- [10]陶文斌,张粒子,潘弘,等.基于双层贝叶斯分类的空间负荷预测[J].中国电机工程学报,2007,27(7):13-17.Tao Wenbin,Zhang Lizi,Pan Hong,et al.Spatial electric load forecasting based on double-level bayesian classification[J].Proceedings of the CSEE,2007,27(7):13-17(in Chinese).
- [11]罗治强,张焰,朱杰.粗集理论在电力系统负荷预测中的应用[J].电网技术,2004,28(3):29-32.Luo Zhiqiang,Zhang Yan,Zhu Jie.Application of rough set theory in electric power load forecast[J].Power System Technology,2004,28(3):29-32(in Chinese).
- [12]赵登福,王蒙,张讲社,等.基于支撑向量机方法的短期负荷预测[J].中国电机工程学报,2002,22(4):26-30.Zhao Dengfu,Wang Meng,Zhang Jiangshe,et al.A support vector machine approach for short term load forecasting[J].Proceedings of the CSEE,2002,22(4):26-30(in Chinese).
- [13]罗楠,朱业玉,杜彩月.支持向量机方法在电力负荷预测中的应用[J].电网技术,2007,31(2):215-218.Luo Nan,Zhu Yeyu,Du Caiyue.Application of support vector machine method in electric load forecasting[J].Power System Technology,2007,31(2):215-218(in Chinese).
- [14]耿艳,韩学山,韩力.基于最小二乘支持向量机的短期负荷预测[J].电网技术,2008,32(18):72-76.Geng Yan,Han Xueshan,Han Li.Short-term load forecasting based on least squares support vector machines[J].Power System Technology,2008,32(18):72-76(in Chinese).
- [15]赵登福,庞文晨,张讲社,等.基于贝叶斯理论和在线学习支持向量机的短期负荷预测[J].中国电机工程学报,2005,25(13):8-13.Zhao Dengfu,Pang Wenchen,Zhang Jiangshe,et al.Based on Bayesian theory and online learning SVM for short term load forecasting[J].Proceedings of the CSEE,2005,25(13):8-13(in Chinese).
- [16]牛东晓,谷志红,邢棉,等.基于数据挖掘的SVM短期负荷预测方法研究[J].中国电机工程学报,2006,26(18):6-12.Niu Dongxiao,Gu Zhihong,Xing Mian,et al.Study on forecasting approach to short-term load of SVM based on data mining[J].Proceedings of the CSEE,2006,26(18):6-12(in Chinese).
- [17]朱陶业,李应求,张颖,等.提高时间序列气象适应性的短期电力负荷预测算法[J].中国电机工程学报,2006,26(23):14-19.Zhu Taoye,Li Yingqiu,Zhang Ying,et al.A new algorithm of advancing weather adaptability based on arima model for day-ahead power load forecasting[J].Proceedings of the CSEE,2006,26(23):14-19(in Chinese).
- [18]Amjady N,Keynia F.Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm[J].Energy,2009,34(1):46-57.
- [19]梁志珊,王丽敏.基于Lyapunov指数的电力系统短期负荷预测[J].中国电机工程学报,1998,18(5):368-371.Liang Zhishan,Wang Limin.Electric power system short-term load forecasting using Lyapunov exponents technique[J].Proceedings of the CSEE,1998,18(5):368-371(in Chinese).
- [20]孙雅明,张智晟.相空间重构和混沌神经网络融合的短期负荷预测研究[J].中国电机工程学报,2004,24(1):44-48.Sun Yaming,Zhang Zhisheng.A new model of STLF based on the fusion of PSRT and chaotic neural networks[J].Proceedings of the CSEE,2004,24(1):44-48(in Chinese).
- [21]杜杰,陆金桂,曹一家,等.短期电力负荷预报间隔采样混沌模型[J].中国电机工程学报,2006,26(10):28-32.Du Jie,Lu Jingui,Cao Yijia,et al.The interval sampling chaotic model of electrie load forecasting[J].Proceedings of the CSEE,2006,26(10):28-32(in Chinese).
- [22]杨正瓴,王渭巍,曹东波,等.短期负荷预测的Ensemble混沌预测方法[J].电力系统自动化,2007,31(32):34-37.Yang Zhengling,Wang Weiwei,Cao Dongbo,et al.Ensemble chaotic forecasting method in short term load forecasting[J].Automation of Electric Power Systems,2007,31(32):34-37(in Chinese).
- [23]杜杰,曹一家,徐立中,等.短期负荷预测Volterra滤波器间隔采样模型[J].电工技术学报,2008,23(8):114-120.Du Jie,Cao Yijia,Xu Lizhong,et al.Interval sampling short-term load forecasting model based on Volterra filters[J].Transactions of China Electrotechnical Society,2008,23(8):114-120(in Chinese).
- [24]陈维荣,郑永康,戴朝华,等.基于复Morlet小波SVM的负荷预测[J].西南交通大学学报,2009,44(5):631-636.Chen Weirong,Zheng Yongkang,Dai Chaohua,et al.Short-term load forecasting based on complex Morlet wavelet SVM[J].Journal of Southwest Jiaotong University,2009,44(5):631-636(in Chinese).
- [25]王海风,韩祯祥.自适应电力系统稳定器设计的频域方法[J].中国电机工程学报,1992,12(6):1-10.Wang Haifeng,Han Zhenxiang.Adaptive power system stabilizer design in frequency domain[J].Proceedings of the CSEE,1992,12(6):1-10(in Chinese).
- [26]吕金虎.混沌时间序列分析及其应用[M].武汉:武汉大学出版社,2003:57-66.
- [27]韩敏.混沌时间序列预测理论与方法[M].北京:中国水利水电出版设,2007:50-56.