孙毅;顾玮;李彬;崔灿;孙辰军;郑爱霞;

• 1:华北电力大学电气与电子工程学院
• 2:国网河北省电力公司
• 3:国网江苏省电力公司电力科学研究院

摘要(Abstract)：

针对售电公司实现多样化服务类型,吸引更多用户的需求,提出了一种基于差异化特征提取的用户分层聚类方法,并对传统的k-medoids聚类算法进行改进,实现了聚类数目可变的自适应k-medoids算法。分层聚类中第1层聚类先基于马尔科夫模型提取代表用户用电行为多样性的用电特征,并运用自适应的k-medoids聚类算法实现对用户用电行为多变与否的识别。第2层聚类首先针对第1层聚类得到的各类用户提取差异化的用电特征,接着分别运用合适的聚类算法实现用户的再次分类。最后,为两层聚类后的子类用户推荐合适的电价套餐。实验结果表明,基于该差异化特征提取的分层聚类方法能够为售电公司实现有效的用户差异化套餐推荐服务,进而为吸引更多用户购电、扩大售电公司规模提供技术支撑。

关键词(KeyWords)： 售电侧改革;电价套餐推荐;用户分层聚类;差异化特征提取;自适应k-medoids算法;马尔科夫模型

Abstract:

Keywords:

基金项目(Foundation): 国家电网公司科技项目(智能电网用户行为理论与互动化模式研究)~~

作者(Author): 孙毅;顾玮;李彬;崔灿;孙辰军;郑爱霞;

Email:

DOI: 10.13335/j.1000-3673.pst.2017.1226

参考文献(References)：

• [1]中华人民共和国国务院.关于进一步深化电力体制改革的若干意见(中发[2015]9号)[Z].2015.
• [2]Ofuji K,Tatsumi N.Wholesale and retail electricity markets in Japan:Results of market revitalization measures and prospects for the current reform[J].Economics of Energy&Environmental Policy,2016,5(1):31-49.
• [3]孙毅,许鹏,单葆国,等.售电侧改革背景下“互联网+”电能替代发展路线[J].电网技术,2016,40(12):3648-3654.Sun Yi,Xu Peng,Shan Baoguo,et al.Road map for“Internet Plus”energy substitution in electricity retail market reform in China[J].Power System Technology,2016,12(40):2648-2654(in Chinese).
• [4]胡晨,杜松怀,苏娟,等.新电改背景下我国售电公司的购售电途径与经营模式探讨[J].电网技术,2016,40(11):3293-3299.Hu Chen,Du Songhuai,Su Juan,et al.Preliminary research of trading approach and management modes of Chinese electricity retail companies under new electricity market reform[J].Power System Technology,2016,11(40):3293-3299(in Chinese).
• [5]康琦.零售电力市场研究[D].北京:华北电力大学(北京),2008.
• [6]罗琴,宋依群.售电市场环境下计及可中断负荷的营销策略[J].电力系统自动化,2015,39(17):134-139.Luo Qin,Song Yiqun.Marketing strategy in competitive retail market considering interruptible load[J].Automation of Electric Power Systems,2015,39(17):134-139(in Chinese).
• [7]赵克斌.售电公司若干问题再探讨[J].中国电力企业管理,2016(7):31-33.Zhao Kebin.Further discussion on several problems of power sales company[J].China Power Enterprise Management,2016(7):31-33(in Chinese).
• [8]张晓萱,薛松,杨素,等.售电侧市场放开国际经验及其启示[J].电力系统自动化,2016,40(9):1-8.Zhang Xiaoxuan,Xue Song,Yang Su,et al.International experience and lessons in power sales side market liberalization[J].Automation of Electric Power Systems,2016,40(9):1-8(in Chinese).
• [9]丁珩,周小兵,谢东,等.德国电改对我国售电公司的启示[J].湖北电力,2016,40(3):15-17.Ding Heng,Zhou Xiaobin,Xie Dong,et al.Enlightenment of German power market reform to power-retailing companies in China[J].Hubei Electric Power,2016,40(3):15-17(in Chinese).
• [10]Haben S,Singleton C,Grindrod P.Analysis and clustering of residential customers energy behavioral demand using smart meter data[J].IEEE Transactions on Smart Grid,2016,7(1):136-144.
• [11]Zhang P,Wu X,Wang X,et al.Short-term load forecasting based on big data technologies[J].CSEE Journal of Power and Energy Systems,2015,1(3):59-67.
• [12]徐毅.新电力体制改革下的售电公司经营探讨[J].轻工科技,2016(3):130-131.Xu Yi.Discussion on the operation of electricity sales company under the reform of new electric power system[J].Light Industry Science and Technology,2016(3):130-131(in Chinese).
• [13]Notaristefano A,Chicco G,Piglione F.Data size reduction with symbolic aggregate approximation for electrical load pattern grouping[J].IET Generation,Transmission&Distribution,2013,7(2):108-117.
• [14]Wang Yi,Chen Qixin,Kang Chongqing,et al.Clustering of electricity consumption behavior dynamics toward big data applications[J].IEEE Transactions Smart Grid,2016,7(5):2437-2447.
• [15]Labeeuw W,Deconinck G.Residential electrical load model based on mixture model clustering and Markov models[J].IEEE Transactions on Industrial Informatics,2013,9(3):1561-1569.
• [16]邢哲源,冯秀芳.一种基于时序信誉的WSNs恶意节点检测算法[J].传感器与微系统,2015,34(7):118-120.Xin Zheyuan,Feng Xiufang.A malicious node detecting algorithm for WSNs based on time sequence credibility[J].Transducer and Microsystem Technologies,2015,34(7):118-120(in Chinese).
• [17]Kwac J,Flora J,Rajagopal R.Household energy consumption segmentation using hourly data[J].IEEE Transactions on Smart Grid,2014,5(1):420-430.
• [18]Irish Social Science Data Archive.Commission for energy regulation(CER)smart metering project.[2016-09-13].http://www.ucd.ie/issda/data/commissionforenergyregulationcer/.
• [19]An Exelon Company.Electricity retailing[EB/OL].[2016-11-13].https://en.wikipedia.org/wiki/Electricity_retailing.
• [20]An Exelon Company.Electricity retailing[EB/OL].[2016-11-13].http://www.constellation.com/solutions/for-your-home/home-energyoptions/electricity.html.
• [21]Zhou Hongxing.Standard of tariff price in Zhejiang[EB/OL].[2016-11-12].https://sanwen8.cn/p/2805u3X.html.
• [22]姚熊亮,陈海龙,赵新,等.基于拉依达准则的舰载设备抗冲击薄弱环节判定[J].中国舰船研究,2007,2(5):10-14.Xiong Xiongliang,Chen Hailong,Zhao Xin,et al.Judgment of weak link of shipboard equipment based on La Yida criterion[J].Chinese Journal of Ship Research,2007,2(5):10-14(in Chinese).
• [23]Sun Y,Gu W,Lu J,et al.Fuzzy clustering algorithm-based classification of daily electrical load patterns[C]//2015 12th International Conference on Fuzzy Systems and Knowledge Discovery(FSKD).Zhangjiajie:IEEE,2015:50-54.