Research on Differentiated Price Package Based on Power Customer Evaluation

doi:10.11930/j.issn.1004-9649.201803194

Abstract

Abstract: With the advancement of the demand side reform, the electricity market is gradually expanding. While studying how to reduce the purchase cost in the wholesale market, the electricity retailers should pay attention to the research of the electricity users in the retail market. The paper built a power customer evaluation index system by introducing a weight design model of multi-objective optimization, and classified electricity users based on the assessment results, and designed a corresponding differential package. A case study shows that among the weights of various indicators, the weight of the electricity consumption in the revenue index is the highest. The electricity users are divided into three categories, and the evaluation results are matched with the users classification.

Key words: electricity market, spread package, electricity retailer, differentiation, customer evaluation

YU Xiaobao, TAN Zhongfu, QU Gaoqiang. Research on Differentiated Price Package Based on Power Customer Evaluation[J]. Electric Power, 2020, 53(2): 9-19.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201803194

https://www.electricpower.com.cn/EN/Y2020/V53/I2/9

References

[1] YU X B, TAN Z F. Evaluation model of generation dispatching optimization considering participation of electricity retailers[J]. Mathematical Problems in Engineering, 2019:1-13.
[2] 马佳乐, 谭忠富, 喻小宝, 等. 计及实时电量交易的售电公司日偏差电量考核优化模型[J]. 电力建设, 2019, 40(2):11-19 MA Jiale, TAN Zhongfu, YU Xiaobao, et al. Optimal model for daily deviation penalty of electricity retailer considering real-time electricity trading[J]. Electric Power Construction, 2019, 40(2):11-19
[3] 喻小宝, 谭忠富, 马佳乐, 等. 计及需求响应的售电公司正偏差电量考核优化模型[J]. 电力系统自动化, 2019, 43(7):120-131 YU Xiaobao, TAN Zhongfu, MA Jiale, et al. Optimal model for positive deviation penalty of retailer considering demand response[J]. Automation of Electric Power Systems, 2019, 43(7):120-131
[4] 谭忠富, 王冠, 李鹏, 等. 市场环境下的售电商合作博弈研究[J]. 中国电力, 2017, 50(4):45-51 TAN Zhongfu, WANG Guan, LI Peng, et al. Research on cooperative game of electricity providers under the market environment[J]. Electric Power, 2017, 50(4):45-51
[5] 杨茂, 都键, 李大勇, 等. 基于集对分析聚类法的超短期风电功率区间预测[J]. 可再生能源, 2017, 35(9):1324-1330 YANG Mao, DU Jian, LI Dayong, et al. Ultra-short term wind power interval prediction with set pair analysis in cluster analysis[J]. Renewable Energy Resources, 2017, 35(9):1324-1330
[6] 刘建, 赵加奎, 杨维, 等. 电力95598客户服务质检抽样算法研究[J]. 电网技术, 2015, 39(11):3163-3168 LIU Jian, ZHAO Jiakui, YANG Wei, et al. Research on quality inspection sampling algorithm of electric 95598 customer service[J]. Power System Technology, 2015, 39(11):3163-3168
[7] 张钦, 白建华, 陈立斌. 电力市场下基于分层可靠性服务的可靠性电价体系研究[J]. 电网技术, 2011, 35(12):165-170 ZHANG Qin, BAI Jianhua, CHEN Libin. Study on reliability pricing system in electricity market based on hierarchical reliability service[J]. Power System Technology, 2011, 35(12):165-170
[8] 段登伟, 刘俊勇, 吴集光. 计及风险的配电公司最优分时零售电价模型[J]. 电力系统自动化, 2005, 29(3):8-12 DUAN Dengwei, LIU Junyong, WU Jiguang. Optimal time-sharing retail price model for distribution companies considering risk[J]. Automation of Electric Power Systems, 2005, 29(3):8-12
[9] 雷霞, 刘俊勇, 都亮. 电力零售市场中分时零售电价的确定[J]. 电力系统及其自动化学报, 2008, 20(1):28-32 LEI Xia, LIU Junyong, DU Liang. Determination of time-of-use retail price in the retail market[J]. Proceedings of the CSU-EPSA, 2008, 20(1):28-32
[10] 宋华, 云俊. 基于客户感知价值的客户细分研究[J]. 工业工程, 2015, 18(4):36-42 SONG Hua, YUN Jun. A research of customer segmentation based on customer perceived value[J]. Industrial Engineering Journal, 2015, 18(4):36-42
[11] 孟安波, 卢海明, 李海亮, 等. 纵横交叉算法优化FCM在电力客户分类中的应用[J]. 电力系统保护与控制, 2015, 43(20):150-154 MENG Anbo, LU Haiming, LI Hailiang, et al. Electricity customer classification based on optimized FCM clustering by hybrid CSO[J]. Power System Protection and Control, 2015, 43(20):150-154
[12] DAGOUMAS, A. S, POLEMIS M.L. An integrated model for assessing electricity retailer's profitability with demand response[J]. Applied Energy, 2017, 198:49-64.
[13] KARANFIL F, LI Yuanjing. Electricity consumption and economic growth:Exploring panel-specific differences[J]. Energy Policy, 2015, 82:264-277.
[14] Manan S A, Noorita S, Rosnani A, et al. A study of Sabah Electricity Sdn. Bhd. (SESB) best route transmission line using AHP[C]//2016 IEEE 12th International Colloquium on Signal Processing & its Applications, 2016:295-300.
[15] Holden, A C. L. Cosmetic dentistry:a socioethical evaluation[J]. Bioethics, 2018, 32(9):602-610
[16] 何璞玉. 基于需求响应的多类用户协助风电消纳优化模型研究[D]. 北京:华北电力大学(北京), 2016. He Puyu. Wind power consumption optimization model considering multi-type users based on demand response[D]. Beijing:North China Electric Power University, 2016.
[17] LIN L, CHEN Y Q. Evaluation of future water use for electricity generation under different energy development scenarios in China[J]. Sustainability, 2018, 10(2):30.
[18] UCHMAN W, SKOREK-OSIKOWSKA A, WERLE S. Evaluation of the potential of the production of electricity and heat using energy crops with phytoremediation features[J]. Applied Thermal Engineering, 2017, 126:194-203.
[19] LV Jiajun, DING Tao, BIE Zhaohong, et al. The design and optimization of the urban residential electricity packages for a load serving entity[C]//2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), October 25-28, 2016. Xi'an. TEEE, 2016:69-73.
[20] LIU Kun, WEN An, JIN Xin, et al. An integrated protection and control system for 10 kV electricity distribution networks based on package transmission communication network[C]//2016 China International Conference on Electricity Distribution (CICED), August 10-13, 2016. Xian, China. IEEE, 2016.