Data Analysis Model for Demand Response System and Its Application

doi:10.3969/j.issn.1000-7229.2017.09.013

Abstract

Abstract: ABSTRACT： According to the latest evolution of domestic smart grid user interface, this paper analyzes the information standardization of demand side data. The information exchange interface and information model are extended based on IEC PC 118 to support demand response （DR） business and realize the big data evaluation method for supporting DR implementation effect. We analyze the DR dynamic operating index from aspects of industry category dimension, time dimension, response dimensions, etc. Through introducing the knowledge discovery in database （KDD） discover in traditional data correlation analysis, we construct the weak association under different confidence intervals. Besides, in order to reduce the practical computation requirement, we adopt pruning techniques in analysis process to improve the running performance. Finally, we verify the proposed model through the load model of typical energy enterprises, and analyze the potential key factors of DR system implementation effect, which can provide the necessary technical support for the use-side energy management, distribution network scheduling and hird-party energy aggregator management of future smart grid.

Key words: data analysis, demand response（DR）, smart grid user interface, energy management

CLC Number:

TM 31

LI Bin, ZHOU Qiuyan, CHEN Songsong, CUI Gaoying, QI Bing, SUN Yi. Data Analysis Model for Demand Response System and Its Application[J]. Electric Power Construction, 2017, 38(9): 88-.

References

[1]曹凌. 大数据创新: 欧盟开放数据战略研究［J］. 情报理论与实践，2013，36（4）: 118-122.

CAO Ling.Big data innovation: European union open data strategy research［J］. Information Studies:Theory & Application，2013，36（4）: 118-122.

［2］沈丽菁，张帆，仲晓军．综合数据平台（IDP）及其在线损精细化项目中的应用［J］．华东电力，2009，37（1）: 25-27．

SHEN Lijing, ZHANG Fan, ZHONG Xiaojun. Application of integrated data platform to line loss delicacy projects［J］. East China Electric Power, 2009, 37（1）: 25-27．

［3］LU R, ZHU H, LIU X. Toward efficient and privacy-preserving computing in big data era［J］. IEEE Network, 2014, 28（4）:46-50．

［4］WALSH J, VENTER C, BROWN T, et al. A practical approach for UK primary care on the management of cow’s milk allergy in infants［J］. British Journal of General Practice, 2014, 64: 48-49．

［5］高赐威，梁甜甜，李慧星，等. 开放式自动需求响应通信规范的发展和应用综述［J］. 电网技术, 2013, 37（3）: 692-698.

GAO Ciwei, LIANG Tiantian, LI Huixing, et al. A survey on theory and practice of automated demand response［J］. Power System Technology, 2013, 37（3）: 692-698．

［6］闫华光，陈宋宋，钟鸣，等．电力需求侧能效管理与需求响应系统的研究与设计［J］．电网技术，2015，39（1）：42-47．

YAN Huaguang, CHEN Songsong, ZHONG Ming, et al. Research and design of demand side energy efficiency management and demand response system［J］. Power System Technology, 2015, 39（1）: 42-47．

［7］GELLINGS C, SAMOTYJ M. Smart grid as advanced technology enabler of demand response［J］. Energy Efficiency, 2013, 6 （4）:685-694.

［8］高赐威，梁甜甜，李扬．自动需求响应的理论与实践综述［J］．电网技术，2014，38（2）：352-359.

GAO Ciwei，LIANG Tiantian，LI Yang．A survey on theory and practice of automated demand response［J］. Power System Technology, 2014, 38（2）: 352-359．

［9］OpenADR Alliance. OpenADR 2.0profile specification A profile［EB/OL］. Morgan Hill: California Energy Commission, （2011-12）［2015-11-02］.https://openadr. memberclicks.net/assets/DoNotChange/openadr%202%200a%20profile%20specification_v1.0.zip.

［10］OpenADR Alliance. OpenADR 2.0 profile specification B profile［EB/OL］. Morgan Hill: California Energy Commission, （2013-07）［2015-12-21］. https:// openadr.memberclicks.net/assets/DoNotChange/openadr_2_0b_profile_specification_v1.1_package_public.zip.

［11］International Electrotechnical Commission. Communication networks and systems in substations-part 1: Introduction and overview:IEC 61850-1［S］. Geneva: British Standards Institution, 2003．

［12］International Electrotechnical Commission.Application integration at electric utilities-system interfaces for distribution management-part 1: Interface architecture and general requirements: IEC 61968-1［S］. Geneva: British Standards Institution, 2003.

［13］International Electrotechnical Commission.Communication networks and systems for power utility automation（Edition 1）: Systems interface between customer energy management system and the power management system: IEC 62746［S］.Geneva: British Standards Institution, 2012．

［14］OASIS. Energy interoperation （EI） version 1.0［EB/OL］.（2014-06）.［2016-02-05］.http://docs.oasis-open.org/energyinterop/ei/v1.0/cs03/energyinterop-v1.0-cs03.html.

［15］OASIS.Energy market information exchange （EMIX） version 1.0［EB/OL］.（2012-01）［2016-01-05］. http://docs.oasis-open.org/emix/emix/v1.0/cs02/emix-v1.0-cs02.pdf.

［16］OASIS.WS-calendar version 1.0［EB/OL］.（2011-01）［2016-01-08］.http://docs.oasis-open.org/ws-calendar/ws-calendar-spec/v1.0/cs01/ws-calendar-spec-v1.0-cs01.pdf.

［17］YAN H, LI B, CHEN S, et al. Future evolution of automated demand response system in smart grid for low-carbon economy［J］. Journal of Modern Power Systems & Clean Energy, 2015, 3（1）:72-81.

［18］祁兵，张荣，李彬，等．自动需求响应信息交换接口设计［J］．中国电机工程学报，2014，34（31）：5590-5596．

QI Bing, ZHANG Rong, LI Bin, et al. Design of automated demand response information exchange interface［J］. Proceedings of the CSEE, 2014, 34（31）: 5590-5596．

［19］祁兵，柏慧，陈宋宋，等. 基于互联网家电的需求响应聚合系统信息接口研究与设计［J］.电网技术, 2016, 40（12）: 3918-3922.

QI Bing, BAI Hui, CHEN Songsong, et al. Research and design of aggregate system information interface based on demand response of internet appliance［J］. Power System Technology,2016, 40（12）: 3918-3922.

［20］刘壮志，许柏婷，牛东晓．智能电网需求响应与均衡分析发展趋势［J］．电网技术，2013，37（6）：1555-1561．

LIU Zhuangzhi,XU Baiting,NIU Dongxiao. Development tendency of equilibrium analysis and demand response for smart grid［J］. Power System Technology, 2013, 37（6）: 1555-1561．

［21］AGRAWAL R, IMIELINSKI T, SWAMI A. Mining association rules between sets of items in large databases［C］//Proceedings of the ACM SIGMOD Conference on Management of Data. Washington D.C.: Association for Computing Machinery, 1993:207-216．

［22］赵鸿图，朱治中，于尔铿．电力市场中需求响应市场与需求响应项目研究［J］．电网技术，2010，34（5）：146-153．

ZHAO Hongtu, ZHU Zhizhong, YU Erkeng. Study on demand response markets and programs in electricity markets［J］. Power System Technology, 2010, 34（5）: 146-153．

［23］宗柳，李杨，王蓓蓓．计及需求响应的多维度用电特征精细挖掘［J］. 电力系统自动化. 2012，36（20）：54-58．

ZONG Liu, LI Yang, WANG Beibei. Fine-mining of multi-dimension electrical characteristics considering demand response［J］. Automation of Electric Power Systems, 2012, 36（20）: 54-58．

［24］中国电力企业联合会. 需求响应效果监测与综合效益评价导则:GB/T 32127—2015［S］. 北京：中国标准出版社, 2015.

[1]	ZHAO Haibing，ZHANG Huanyun，GE Yang，CHENG Haoyuan，GAO Wenhao，AI Qian . Bi-Level Multi-Objective Control Strategy of Active Distribution System Under the Cognition of Cell-Tissue Theory [J]. Electric Power Construction, 2020, 41(5): 81-92.
[2]	CAI Qinqin，YANG Xiaohua，ZHU Yongqiang. Research on Photovoltaic Accommodation and Energy Storage Scheduling of Building Energy Management System [J]. Electric Power Construction, 2020, 41(1): 23-31.
[3]	YUAN Guili， DONG Jinfeng， WEI Geng， JIA Xinchao. Optimal Scheduling of Combined Cooling Heating and Power Microgrid Based on Demand Response and Multi-Energy Coordination [J]. Electric Power Construction, 2019, 40(9): 64-72.
[4]	GONG Jianfeng， CAO Yuchen， HU Zhibing， CHEN Xingyi， GE Pengjiang， ZHANG Peng. Energy Management of Industrial Park Integrated Energy System Based on Improved Genetic Algorithm [J]. Electric Power Construction, 2019, 40(8): 51-58.
[5]	GE Qiancheng， YAO Gang， ZHOU Lidan. Research Status and Prospects of Electric Energy Router Technology [J]. Electric Power Construction, 2019, 40(6): 105-113.
[6]	SONG Jie，CHEN Zhenyu，YANG Yang，ZHANG Kaiheng，ZHANG Weiguo， ZHU Qing，XU Qingshan. Research on Load Demand Response Decision Considering Resource Correlation and Uncertainty [J]. Electric Power Construction, 2019, 40(6): 132-138.
[7]	DONG Jun，NIE Linpeng，NIE Shilin，YANG Peiwen，FU Anyuan，HUANG Hui. Two-Stage Robust Optimization Model for Spinning Reserve Capacity Considering Demand Response and Uncertainty of Wind Power [J]. Electric Power Construction, 2019, 40(11): 55-64.
[8]	LIN Hongji， YAN Yuan， WEN Fushuan， HU Jiahua， QU Haoyuan， ZHAO Zheng. Real-Time Dispatch Considering Flexible Ramping Products in A Power System with High Proportion of Renewable Energy Generation [J]. Electric Power Construction, 2019, 40(10): 18-27.
[9]	MING Xu1， CHEN Yan,LIU Yuan,ZOU Qin， LI Wei， HU Wenbo， WANG Xuan,YANG Jun. Energy Management Strategy for Electric Vehicle Considering Photovoltaic Power Consumption and Commuter Demand [J]. Electric Power Construction, 2019, 40(1): 49-59.
[10]	HUANG Haitao，WANG Daifeng，ZHU Fengze，WANG Junwei. Study on the Control Strategy of Frequency Conversion Air Conditioning Considering Thermal Comfort [J]. Electric Power Construction, 2018, 39(9): 9-17.
[11]	ZHANG Qingqing，WU Qian，LI Shengwei，BAI Xingzhen. Optimal Scheduling of New Energy Integration Considering Different Demand Response Groups [J]. Electric Power Construction, 2018, 39(7): 107-114.
[12]	LI Liming, LI Zheng. Microgrid Energy Management Based on Hierarchical Multi-Objective Optimization Algorithm [J]. Electric Power Construction, 2018, 39(4): 75-.
[13]	QI Bing 1, XIA Yan 1, LI Bin 1, SHI Kun 2, XUE Mingfeng 3. Family Energy Management System Based on Edge Computing: Architecture, Key Technology and Implementation [J]. Electric Power Construction, 2018, 39(3): 33-.
[14]	LI Gang1, MENG Huan2, ZHOU Guoliang3, GAO Yajing4 . Energy Management Analysis and Scheme Design of Microgrid Based on Blockchain [J]. Electric Power Construction, 2018, 39(2): 43-.
[15]	ZHANG Zhe, QI Donglian, ZHANG Jianliang. Distributed Optimization Method for Energy Management in Smart Grid Based on Three-level Game Model [J]. Electric Power Construction, 2018, 39(10): 28-36.