Design of Intelligent Electrical Terminal Containing Electrical Credit Evaluation

doi:10.11930/j.issn.1004-9649.2016.09.072.06

Electric Power ›› 2016, Vol. 49 ›› Issue (9): 72-77.DOI: 10.11930/j.issn.1004-9649.2016.09.072.06

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Design of Intelligent Electrical Terminal Containing Electrical Credit Evaluation

YANG Wenhai¹, ZHU Jing², GAO Yajing², CHENG Huaxin², XUE Fushen², WANG Jingmin¹

1. School of Economics and Management, North China Electric Power University, Baoding 071003, China;
2. School of Electrical and Eectronic Engineering, North China Electric Power University, Baoding 071003, China

Received:2016-04-08 Online:2016-09-10 Published:2016-09-28
Supported by:
This work is supported by National High Technology Research and Development of China 863 Program(No.2015AA050104); State Key Laboratory of Tsinghua University Power System (No; SKLD14KM02)

Abstract

Abstract: With the emergence of smart grids and rapid development of demand side management, a design of intelligent electrical terminal containing intelligent electrical credit evaluation is proposed. In this design, grid can not only transmit valuable electric information to users effectively and timely, but also receive user feedbacks. Based on data collected by intelligent electrical terminal, electrical credit evaluation is capable of evaluating user habits quantitatively. The results can be used to conduct and standardize user behavior and provide significant reference to system planning, operation and dispatching.

Key words: power grid planning, demand side response, intelligent electrical terminal, electrical credit evaluation

CLC Number:

TM715

YANG Wenhai, ZHU Jing, GAO Yajing, CHENG Huaxin, XUE Fushen, WANG Jingmin. Design of Intelligent Electrical Terminal Containing Electrical Credit Evaluation[J]. Electric Power, 2016, 49(9): 72-77.

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References

[1] 王蓓蓓,李扬,高赐威. 智能电网框架下的需求侧管理展望与思考[J]. 电力系统自动化,2009,33（20）：17-22.
WANG Beibei, LI Yang, Gao Ciwei. Demand side management outlook under smart grid infrastructure [J]. Automation of Electric Power Systems, 2009, 33(20): 17-22.
[2] 胡江溢,王鹤,周昭茂. 电力需求侧管理的国际经验及对我国的启示[J]. 电网技术,2007,31（18）：10-14.
HU Jiangyi, WANG He, ZHOU Zhaomao. International experience of power demand side management and enlightenment to China [J]. Power Systems Technology, 2007, 31(18): 10-14.
[3] VOJDANI A. Smart integration[J]. Power and Energy Magazine, IEEE, 2008, 6(6): 71-79.
[4] HLEDIK R. How green is the smart grid[J]. The Electricity Journal, 2009, 22(3): 29-41.
[5] European Commission. European technology platform smart grids-vision and strategy for europe’s electricity networks of the future[EB/OL]. (2008-12-21) [2016-04-08]. http://ec.europa.eu/research/energy/pdf/smartgrids_en.pdf.
[6] 肖世杰. 构建中国智能电网技术思考[J]. 电力系统自动化, 2009,33（9）：1-4.
XIAO Shijie. Consideration of technology for constructing Chinese smart grid [J]. Automation of Electric Power Systems, 2009, 33(9): 1-4.
[7] 张钦,王锡凡,王建学,等. 电力市场下需求响应研究综述[J]. 电力系统自动化,2008,32（3）：97-106.
ZHANG Qin, WANG Xifan, WANG Jianxue, et al . Survey of demand response research in deregulated electricity markets [J]. Automation of Electric Power Systems, 2008, 32(3): 97-106.
[8] 夏叶,康重庆,宁波,等. 用户侧互动模式下发用电一体化调度计划[J]. 电力系统自动化,2012,36（1）：17-23.
XIA Ye, KANG Chongqing, NING Bo, et al . A generation and load integrated scheduling on interaction mode on customer side[J]. Automation of Electric Power Systems, 2012, 36(1): 17-23.
[9] 熊敏,周昭茂. 电力需求侧管理与需求响应的发展[J]. 供用电, 2014,3（9）：18-20.
XIONG Min, ZHOU Zhaomao. The development of power demand side management and demand response[J]. Distribution & Utilization, 2014, 3(9): 18-20.
[10] Demand Responseand, Smart Grial Coalition. Accelerating the use of demand response and smart grid technologies is an essential part of the solution to America’s energy, economic and environmental problems[EB/OL].(2008-11-24）[2016-04-08]. http://www.drsgcoalition.org/policy/DRSG_Policy_Recommendations_ to_Accelerate_DR_and_Smart_Grid-2008-11-24.pdf.
[11] 杨诗斓. 智能用电家庭控制终端的研究及设计[D]. 北京：保定：华北电力大学,2013.
[12] 李江浩,曹敏,张建伟,等. 智能用电终端的设计[J]. 云南电力技术,2015,43（1）：73-74,90.
LI Jianghao, CAO Min, ZHANG Jianwei, et al . Design of intelligent electrical terminal based on advanced metering infrastructure [J]. Yunnan Electric Power, 2015, 43(1): 73-74, 90.
[13] 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.
[14] 李晖,康重庆,夏清. 考虑用户满意度的需求侧管理价格决策模型[J]. 电网技术,2005,28（23）：1-6.
LI Hui, KANG Chongqing, XIA Qing. Price based decision making for demand side management considering customer satisfaction index [J]. Power System Technology, 2005, 28(23): 1-6.
[15] 唐捷,任震,胡秀珍. 一种可操作的需求侧管理峰谷分时电价定价方法[J]. 电网技术,2005,29（22）：71-75.
TANG Jie, REN Zhen, HU Xiuzhen. An operable peak-valley time-of-use tariff setting method for demand side management[J]. Power System Technology, 2005, 29(22): 71-75.
[16] ABREU K. PG&E’s perspective on demand response under the smart grid paradigm[C]//Proceedings of IEEE Power Systems Conference and Exhibition (PSCE’09), 2009: 1-2.
[17] VOS A. Effective business models for demand response under the smart grid paradigm[C]//Proceedings of IEEE Power Systems Conference and Exhibition (PSCE’09), 2009: 1-1.

Design of Intelligent Electrical Terminal Containing Electrical Credit Evaluation

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