面向能源互联网的新型需求侧管理模式研究

刘道新,郭万祝,王世成,曾鸣,

电力建设 ›› 2016, Vol. 37 ›› Issue (6) : 10-16.

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PDF(520 KB)
电力建设 ›› 2016, Vol. 37 ›› Issue (6) : 10-16. DOI: 10.3969/j.issn.1000-7229.2016.06.002
能源互联网

面向能源互联网的新型需求侧管理模式研究

  • 刘道新1,郭万祝2,王世成1,曾鸣1,3
作者信息 +

New Demand-Side Management Pattern for Energy Internet

  • LIU Daoxin1, GUO Wanzhu2, WANG Shicheng1, ZENG Ming1,3
Author information +
文章历史 +

摘要

目前,能源互联网已经成为我国电力系统发展的主要方向。能源互联网的建设将在很大程度上改变目前能源利用现状和管理模式。从需求侧管理的角度,阐述能源互联网条件下的新型控制策略,传统的需求侧管理是基于电网与用户的相互作用,通过相关协议达到对负荷的部分可控,能源互联网的发展,使得用户侧的信息交互更加重要与频繁,同时由于各种能源发电形式的接入,使得对用户的负荷管理也越来越重要。提出一种面向能源互联网的需求侧管理方法,该方法利用用户侧健全的通讯基础设施,在每个用户的智能量测设备中增加用电计划控制模块,该模块借助博弈论的思想使每个用户根据其他用户的用电计划制定出使得自己用电支出最小的用电计划,最终得到所有用户的能源消费计划。在整体的能源消费计划下,达到系统运行的峰均比和发电成本最小。最后,通过实例仿真证明了该负荷管理模式的有效性。

Abstract

 At present, the energy Internet has become the main development direction of power system in our country. The construction of the energy Internet will change the energy utilization status and the management pattern. In the perspective of demand side management, this paper studies the new control strategy under energy Internet. Traditional demand side management controls parts of the load by related protocol based on the interaction between the grid and the users. The development of energy Internet makes the information interaction between users more important and frequently. At the same time, the access of various generation forms of energy makes the demand side management more important. This paper proposes a new demand side management method for energy Internet, which uses the user-side sound communications infrastructure to add the power control module in the intelligent measurement equipment for each user. Through the game theory in this module, each user makes his energy plan according to those of other users which make his payment minimum, so as to obtain all the user's energy consumption plans, and realize the minimum peak-average ratio of system operation and power generation cost under the overall energy consumption plan. At last, the example simulation results prove the validity of the load management mode.

关键词

能源互联网 / 用电计划控制 / 博弈论 / 峰均比最小

Key words

energy Internet / energy plan control / game theory / the minimum peak-average ratio

引用本文

导出引用
刘道新,郭万祝,王世成,曾鸣,. 面向能源互联网的新型需求侧管理模式研究[J]. 电力建设. 2016, 37(6): 10-16 https://doi.org/10.3969/j.issn.1000-7229.2016.06.002
LIU Daoxin, GUO Wanzhu, WANG Shicheng, ZENG Ming,. New Demand-Side Management Pattern for Energy Internet[J]. Electric Power Construction. 2016, 37(6): 10-16 https://doi.org/10.3969/j.issn.1000-7229.2016.06.002
中图分类号: :TM 727|F 426.61   

参考文献


[1]刘开俊.能源互联网发展路径探究[J].电力建设,2015,36(10):5-10.
LIU Kaijun.Development path exploration of energy internet[J].Electric Power Construction,2015,36(10):5-10.
[2]赵海,蔡巍,王进法,等.能源互联网架构设计与拓扑模型[J].电工技术学报,2015,30(11):30-36.
ZHAO Hai,CAI Wei,WANG Jinfa,et al.An architecture design and topological model of intergrid [J].Transactions of China Electrotechnical Society,2015,30(11):30-36.
[3]王继业,孟坤,曹军威,等.能源互联网信息技术研究综述[J].计算机研究与发展,2015,52(5):1109-1126.
WANG Jiye,MENG Kun,CAO Junwei, et al.Information technology for energy internet: a survey[J].Journal of Computer Research and Development,2015,52(5):1109-1126.
[4]NERC. Potential reliability impacts of emerging flexible resources[R].American:The North American Electric Reliability Corporation,2010.
[5]曹军威,杨明博,张德华,等.能源互联网——信息与能源的基础设施一体化[J].南方电网技术,2014,8(4):1-10.
CAO Junwei,YANG Mingbo,ZHANG Dehua,et al.Energy internet:an infrastructure for cyber-energy integration[J].Southern Power System Technology,2014,8(4):1-10.
[6]HIRST E,CAVANAGH R,MILLER P.The future of DSM in a restructured US electricity industry [J].Energy Policy,1996,24(4):303-315.
[7]STADLER I.Power grid balancing of energy systems with high renewable energy penetration by demand response[J].Utilities Policy,2008,16(2):90-98.
[8]王蓓蓓,李扬.面向智能电网的电力需求侧管理规划及实施机制[J].电力自动化设备,2010,30(12):19-24.
WANG Beibei,LI Yang.Demand side management planning and implementation mechanism for smart grid [J].Electric Power Automation Equipment,2010,30(12):19-24.
[9]曹培,翁慧颖,俞斌,等.低碳经济下的智能需求侧管理系统[J].电网技术,2012,36(10):11-16.
CAO Pei,WENG Huiying,YU Bin,et al.Research on smart demand side management system in low-carbon economy[J].Power System Technology,2012,36(10):11-16.
[10]SWISHER J,DE MANINO G,REDLINGER R.Tools and methods for integrated resource planning-improving energy efficiency and protecting the environment[J].Utilities Policy,2013(10):11-16.
[11]中国赴欧洲电力需求侧管理培训团.欧洲电力需求侧管理对中国的启示(上)——来自中国赴欧洲电力需求侧管理的培训报告[J].电力需求侧管理,2007,9(2):1-6.
Chinese Group to European DSM Training.Enlightenment of European DSM to China——Report from Chinese group to European DSM training[J].Power Demand Side Management,2007,9(2):1-6.
[12]卢强,陈来军,梅生伟.博弈论在电力系统中典型应用及若干展望[J].中国电机工程学报,2014,34(29):5009-5017.
LU Qiang,CHEN Laijun,MEI Shengwei.Typical applications and prospects of game theory in power system[J].Proceedings of the CSEE,2014,34(29):5009-5017.
[13]王梅霖.电力需求侧管理研究[D].北京:北京交通大学,2011.
WANG Meilin.Research on demand side management[D].Beijing:Beijing Jiaotong University,2011.
[14]HUANG Y H,ZHOU X X.Knowledge model for electric power big data based on ontology and semantic web[J].CSEE Journal of Power and Energy Systems,2015,1(1):19-27.

基金

中央高校基本科研业务费专项资金资助项目(2015QN01)


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