大数据背景下电力需求侧管理的应用策略研究
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摘要
通过分析我国需求侧管理的发展现状,结合大数据的发展形势,研究了大数据背景下我国电力需求侧管理的发展方向和具体应用策略。研究发现,在新电改和大数据的推动下,我国需求侧管理将从以行政手段为主的有序用电模式向以经济手段为主的需求侧响应模式转变,转变后的需求侧管理包括3方面的内容:基于价格的需求侧响应,主要用于常态化的负荷管理;有序用电,主要用于解决季节性、时段性以及突发情况下的电力供需矛盾;能效管理,主要用于提高终端的用电效率,实施节能减排。最后,针对转型后的需求侧管理内容,提出了大数据背景下电力需求侧管理的具体应用策略,为未来我国开展需求侧管理工作提供参考。
By analyzing the current development situation of demand-side management in china,combining with the recent developmentof big data,we study the developing direction and specific application strategies of demand-side management under the big data background.The study found that China's demand-side management will be transformed by orderly power utilization,which mainly depends on administrative means,to demand response,which mainly depends on economic means.And in the future,the demand-side management will consist of three aspects:price-based demand response,which main used for the normal load management;orderly power utilization,which mainly used to solvethe contradiction between supply and demand of electric power caused by season,time or emergency;energy management,which is mainly used to carry out energy conservation.Finally,we put forward specific application strategies of big data in future demand-side management,which will be providing reference and guidance for the further development of demand-side management.
By analyzing the current development situation of demand-side management in china,combining with the recent developmentof big data,we study the developing direction and specific application strategies of demand-side management under the big data background.The study found that China's demand-side management will be transformed by orderly power utilization,which mainly depends on administrative means,to demand response,which mainly depends on economic means.And in the future,the demand-side management will consist of three aspects:price-based demand response,which main used for the normal load management;orderly power utilization,which mainly used to solvethe contradiction between supply and demand of electric power caused by season,time or emergency;energy management,which is mainly used to carry out energy conservation.Finally,we put forward specific application strategies of big data in future demand-side management,which will be providing reference and guidance for the further development of demand-side management.
引文
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[4]段军红,张乃丹,赵博,等.电力大数据基础体系架构与应用研究[J].电力信息与通信技术,2015(2):92-95.
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[16]闫龙川,李雅西,李斌臣,等.电力大数据面临的机遇与挑战[J].电力信息化,2013(4):1-4.
[17]陈超,张顺仕,尚守卫,等.大数据背景下电力行业数据应用研究[J].现代电子技术,2013(24):8-11,14.
[18]唐瑞伟.电力大数据应用现状及发展前景[C]∥电力行业信息化优秀论文集2014——2014年全国电力行业两化融合推进会暨全国电力企业信息化大会获奖论文,2014:7.
[19]刘宝华,王冬容,曾鸣.从需求侧管理到需求侧响应[J].电力需求侧管理,2005(5):10-13.
[20]《有序用电管理办法》[J].大众用电,2011(6):17-18.
[21]卢键明.我国电力需求侧响应的模型方法及实施模式研究[D].北京:华北电力大学,2010.
[22]王雷.基于数据挖掘的电力行业客户细分模型研究[D].上海:上海交通大学,2007.
[23]曾梦妤.分类用户峰谷电价研究[D].北京:华北电力大学,2006.
[24]王世超.电力需求侧管理数据采集与处理的研究[D].秦皇岛:燕山大学,2012.
[2]杨楠,黄镜宇,高丽芳.大数据时代对电力行业的影响和发展前景[C]∥电力行业信息化优秀论文集2014——2014年全国电力行业两化融合推进会暨全国电力企业信息化大会获奖论文,2014.
[3]张沛.电力大数据应用现状及前景[J].电气时代,2014(12):14.
[4]段军红,张乃丹,赵博,等.电力大数据基础体系架构与应用研究[J].电力信息与通信技术,2015(2):92-95.
[5]王健,宋述停,兰俊美,等.电力需求侧大数据应用模型的建立[J].电力与能源,2014(3):283-286.
[6]Gellings C W.The concept of demand.side management for electric utilities[J].Proceedings of the IEEE,1985,73(10):1 468-1 470.
[7]胡兆光.需求侧管理理论体系初探[J].电力需求侧管理,2008(3):8-11.
[8]Strbac G.Demand side management:Benefits and challenges[J].Energy policy,2008,36(12):4 419-4 426.
[9]Gellings C W,Chamberlin J H.Demand.side management:concepts and methods[M].Tulsa,OK,USA:Pennwell Book,1987.
[10]王梅霖.电力需求侧管理研究[D].北京:北京交通大学,2011.
[11]孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013(1):146-169.
[12]McKinsey Global Institute.Big data:the next frontier for innovation,competition,and productivity[R].America,2011.
[13]World Economic Forum.Big data,big impact:new possibilities for international development[R].Geneva Switzerland,2012.
[14]中国电力大数据发展白皮书[M].北京:中国电力出版社,2013
[15]张沛,杨华飞,许元斌.电力大数据及其在电网公司的应用[J].中国电机工程学报,2014(S1):85-92.
[16]闫龙川,李雅西,李斌臣,等.电力大数据面临的机遇与挑战[J].电力信息化,2013(4):1-4.
[17]陈超,张顺仕,尚守卫,等.大数据背景下电力行业数据应用研究[J].现代电子技术,2013(24):8-11,14.
[18]唐瑞伟.电力大数据应用现状及发展前景[C]∥电力行业信息化优秀论文集2014——2014年全国电力行业两化融合推进会暨全国电力企业信息化大会获奖论文,2014:7.
[19]刘宝华,王冬容,曾鸣.从需求侧管理到需求侧响应[J].电力需求侧管理,2005(5):10-13.
[20]《有序用电管理办法》[J].大众用电,2011(6):17-18.
[21]卢键明.我国电力需求侧响应的模型方法及实施模式研究[D].北京:华北电力大学,2010.
[22]王雷.基于数据挖掘的电力行业客户细分模型研究[D].上海:上海交通大学,2007.
[23]曾梦妤.分类用户峰谷电价研究[D].北京:华北电力大学,2006.
[24]王世超.电力需求侧管理数据采集与处理的研究[D].秦皇岛:燕山大学,2012.