An incentive scheme of peak-valley price based on differential privacy

doi:10.11835/j.issn.1000.582X.2023.11.006

Home > Archive>Volume 46, Issue 11, 2023 >56-68. DOI:10.11835/j.issn.1000.582X.2023.11.006

An incentive scheme of peak-valley price based on differential privacy
DOI:
                        10.11835/j.issn.1000.582X.2023.11.006
                    
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                        PANG Bo1PANG Bo
Electric Power Research Institute of State Grid Sichuan Electric Power Company, Chengdu 610072, P. R. China
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ZHANG Linghao1ZHANG Linghao
Electric Power Research Institute of State Grid Sichuan Electric Power Company, Chengdu 610072, P. R. China
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TENG Yufei1TENG Yufei
Electric Power Research Institute of State Grid Sichuan Electric Power Company, Chengdu 610072, P. R. China
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CHANG Zhengwei1CHANG Zhengwei
Electric Power Research Institute of State Grid Sichuan Electric Power Company, Chengdu 610072, P. R. China
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TANG Chao1TANG Chao
Electric Power Research Institute of State Grid Sichuan Electric Power Company, Chengdu 610072, P. R. China
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HU Chunqiang2HU Chunqiang
School of Big Data & Software Engineering, Chongqing University, Chongqing 400030, P. R. China
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LIU Zewei2LIU Zewei
School of Big Data & Software Engineering, Chongqing University, Chongqing 400030, P. R. China
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WANG Baolin2WANG Baolin
School of Big Data & Software Engineering, Chongqing University, Chongqing 400030, P. R. China
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Affiliation:1.Electric Power Research Institute of State Grid Sichuan Electric Power Company, Chengdu 610072, P. R. China;2.School of Big Data & Software Engineering, Chongqing University, Chongqing 400030, P. R. China
Clc Number:TP311
Fund Project:Supported by State Grid Sichuan Power Company Science and Technology Project (SGSCDK00LYJS2200130).

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Abstract:

To solve the problems of significant peak load variations and power supply shortages within smart grid systems, this paper proposes an incentive scheme for peak and off-peak time-of-use (TOU) pricing based on differential privacy. The scheme integrates differential privacy with the peak-valley TOU model, optimizing pricing strategies while safeguarding user data privacy. Differentiated pricing schemes are implemented to influence users’ behavior of electricity consumption, encouraging off-peak consumption habits and achieving a balanced power load across the system. Experimental analysis assesses the data utility following the introduction of differential privacy, evaluating the operation effectiveness of the proposed mechanism. Results show that this scheme successfully achieves load balancing throughout the whole power network while protecting user data privacy.

Key words:peak-valley electricity price;electricity price model;charge balance;privacy protection;differential privacy

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庞博,张凌浩,滕予非,常政威,唐超,胡春强,刘泽伟,王宝琳.一种基于差分隐私的峰谷分时电价激励方案[J].重庆大学学报,2023,46(11):56~68

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Received:July 31,2023
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Online: November 28,2023
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