Evaluation and Certification Model of Green Electricity Consumption Based on Privacy Computing

ZHANG Xian; SHI Zhuyu; CHANG Xin; WANG Dong; LI Da; CHEN Chunyi

doi:10.7500/AEPS20231016002

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Evaluation and Certification Model of Green Electricity Consumption Based on Privacy Computing

Research and Practice on Key Issues of Electricity Market for New Power System | 更新时间：2025-06-16

- Evaluation and Certification Model of Green Electricity Consumption Based on Privacy Computing
- Automation of Electric Power Systems Vol. 48, Issue 11, Pages: 46-54(2024)
- 作者机构：
  
  1.北京电力交易中心有限公司,北京市 100031
  2.国网数字科技控股有限公司,北京市 100077
  3.新能源电力系统全国重点实验室(华北电力大学),北京市 100096
  4.国网上海市电力公司,上海市 200122
- 作者简介：
- 基金信息：
  
  State Grid Corporation of China
- DOI：10.7500/AEPS20231016002
  CLC：
- Received：16 October 2023，
  
  Revised：2024-01-22，
  
  Published Online：22 April 2024，
  
  Published：10 June 2024
- 稿件说明：
移动端阅览
张显,石竹玉,常新等.基于隐私计算的绿电消费评价认证模型[J].电力系统自动化,2024,48(11):46-54.

ZHANG Xian,SHI Zhuyu,CHANG Xin,et al.Evaluation and Certification Model of Green Electricity Consumption Based on Privacy Computing[J].Automation of Electric Power Systems,2024,48(11):46-54.
张显,石竹玉,常新等.基于隐私计算的绿电消费评价认证模型[J].电力系统自动化,2024,48(11):46-54. DOI： 10.7500/AEPS20231016002.

ZHANG Xian,SHI Zhuyu,CHANG Xin,et al.Evaluation and Certification Model of Green Electricity Consumption Based on Privacy Computing[J].Automation of Electric Power Systems,2024,48(11):46-54. DOI： 10.7500/AEPS20231016002.

摘要

绿电消费评价及认证是绿电市场建设的关键一环，当前对绿电消费的评价和认证缺乏有效的技术证明手段，并且绿电消费评价过程存在绿电消费数据隐私保护的技术难题。文中提出一种基于隐私计算的绿电消费评价认证模型。首先，设计一种新型同态加密方法，支持参与绿电消费评价多方主体的隐私保护。相较于传统的同态加密算法，该方法具有更高的加解密效率，且加解密过程可分解，满足全同态性。然后，提出同态加密与可信执行环境协同的隐私计算模式，解决传统同态加密算法无法支持密文下的非线性运算、计算和存储开销大的问题。最后，基于可信执行环境计算过程可验证机制和区块链存证数据防篡改特性，构建绿电消费评价结果的可靠性保障机制。理论和实验结果表明，该方案可高效计算涉及隐私保护的绿色电力消费评价数据，针对10 000个绿电消费者，仅需0.114 s即可完成隐私保护的绿电消费评价。

Abstract

The evaluation and certification of green electricity consumption are critical in the construction of the green electricity market. Currently

there is a lack of effective technical verification methods for evaluating and certifying green electricity consumption. Moreover

the evaluation process faces technical challenges regarding privacy protection of green electricity consumption data. An evaluation and certification model of green electricity consumption based on privacy computing is proposed. First

a novel homomorphic encryption method is devised to support the privacy protection of multiple parties involved in evaluation of green electricity consumption. In contrast to traditional homomorphic encryption algorithms

this method demonstrates higher efficiency in the encryption and decryption processes

and the procedure of encryption and decryption can be segmented while maintaining full homomorphism. Then

a collaborative privacy computing model of homomorphic encryption and trusted execution environment (TEE) is proposed to solve the problem that the traditional homomorphic encryption algorithm can not support the nonlinear operation in ciphertext

and the calculation and storage cost are high. Finally

based on the verifiability mechanism of the computing process of TEE and the tamper-proof characteristics of blockchain certificate data

a reliability assurance mechanism of green electricity consumption evaluation results is established. Theoretical and experimental results demonstrate that the proposed scheme can efficiently compute the evaluation data involving privacy protection for green electricity consumption

which takes approximately 0.114 seconds to complete the green electricity consumption evaluation of privacy protection for 10 000 consumers.

关键词

Keywords

references

关于印发“十四五”可再生能源发展规划的通知［EB/OL］.［ 2022-06-01 ］. https：//www.ndrc.gov.cn/xxgk/zcfb/ghwb/202206/t20220601_1326719.html https://www.ndrc.gov.cn/xxgk/zcfb/ghwb/202206/t20220601_1326719.html .

Notice on issuing the “14th Five Year Plan” for the development of renewable energy ［EB/OL］. ［ 2022-06-01 ］. https：//www.ndrc.gov.cn/xxgk/zcfb/ghwb/202206/t20220601_1326719.html https://www.ndrc.gov.cn/xxgk/zcfb/ghwb/202206/t20220601_1326719.html .

国家发改委等部门关于印发《促进绿色消费实施方案》的通知［EB/OL］.［ 2022-01-18 ］. https：//www.gov.cn/zhengce/zhengceku/2022-01/21/content5669785.htm https://www.gov.cn/zhengce/zhengceku/2022-01/21/content5669785.htm ．

Notice of the National Development and Reform Commission and other departments on printing and distributing the “implementation plan for promoting green consumption” ［EB/OL］. ［ 2022-01-18 ］. https：//www.gov.cn/zhengce/zhengceku/2022-01/21/content_5669785.htm https://www.gov.cn/zhengce/zhengceku/2022-01/21/content_5669785.htm .

关于完善能源绿色低碳转型体制机制和政策措施的意见［EB/OL］.［ 2022-01-30 ］. https：//www.gov.cn/zhengce/zhengceku/2022-02/11/content_5673015.htm https://www.gov.cn/zhengce/zhengceku/2022-02/11/content_5673015.htm .

Opinions on improving the system ， mechanism ， and policy measures for green and low carbon energy transformation ［EB/OL］. ［ 2022-01-30 ］. https：//www.gov.cn/zhengce/zhengceku/2022-02/11/content_5673015.htm https://www.gov.cn/zhengce/zhengceku/2022-02/11/content_5673015.htm .

时璟丽 . 国际可再生能源参与电力市场配套支持机制及对我国的启示［J］. 中国能源， 2021 ， 43 （ 3 ）： 55 - 58 .

SHI Jingli . Supporting mechanism of international renewable energy participating in power market and its enlightenment to China ［J］. Energy of China ， 2021 ， 43 （ 3 ）： 55 - 58 .

朱发根 . 绿色电力证书：国际经验、国内前景和发电对策［J］. 中国电力企业管理， 2018 （ 16 ）： 64 - 69 .

ZHU Fagen . Green power certificate： international experience， domestic prospect and power generation countermeasures ［J］. China Power Enterprise Management ， 2018 （ 16 ）： 64 - 69 .

凡航，徐葳，范晓昱，等 . 隐私计算在新型电力系统中的应用分析与展望［J］. 电力系统自动化， 2023 ， 47 （ 19 ）： 187 - 199 .

FAN Hang ， XU Wei ， FAN Xiaoyu ， et al . Application analysis and prospect of privacy-preserving computation in new power system ［J］. Automation of Electric Power Systems ， 2023 ， 47 （ 19 ）： 187 - 199 .

郭庆来，田年丰，孙宏斌 . 支撑能源互联网协同优化的隐私计算关键技术［J］. 电力系统自动化， 2023 ， 47 （ 8 ）： 2 - 14 .

GUO Qinglai ， TIAN Nianfeng ， SUN Hongbin . Key technologies of privacy computation supporting collaborative optimization of Energy Internet ［J］. Automation of Electric Power Systems ， 2023 ， 47 （ 8 ）： 2 - 14 .

郭庆，田有亮，万良 . 基于代理重加密的区块链数据受控共享方案［J］. 电子学报， 2023 ， 51 （ 2 ）： 477 - 488 .

GUO Qing ， TIAN Youliang ， WAN Liang . Blockchain data controlled sharing scheme based on proxy re-encryption ［J］. Acta Electronica Sinica ， 2023 ， 51 （ 2 ）： 477 - 488 .

肖瑶，冯勇，李英娜，等 . 基于同态加密的区块链交易数据隐私保护方案［J］. 密码学报， 2022 ， 9 （ 6 ）： 1053 - 1066 .

XIAO Yao ， FENG Yong ， LI Yingna ， et al . A privacy-preserved scheme for blockchain transaction based on homomorphic encryption ［J］. Journal of Cryptologic Research ， 2022 ， 9 （ 6 ）： 1053 - 1066 .

宋靖文，张大伟，韩旭，等 . 区块链中可监管的身份隐私保护方案［J］. 软件学报， 2023 ， 34 （ 7 ）： 3292 - 3312 .

SONG Jingwen ， ZHANG Dawei ， HAN Xu ， et al . Supervised identity privacy protection scheme in blockchain ［J］. Journal of Software ， 2023 ， 34 （ 7 ）： 3292 - 3312 .

WANG Y X ， LUO F J ， DONG Z Y ， et al . Distributed meter data aggregation framework based on Blockchain and homomorphic encryption ［J］. IET Cyber-Physical Systems： Theory & Applications ， 2019 ， 4 （ 1 ）： 30 - 37 .

PING J ， YAN Z ， CHEN S J . A privacy-preserving blockchain-based method to optimize energy trading ［J］. IEEE Transactions on Smart Grid ， 2023 ， 14 （ 2 ）： 1148 - 1157 .

DVORKIN V ， FIORETTO F ， VAN HENTENRYCK P ， et al . Differentially private optimal power flow for distribution grids ［J］. IEEE Transactions on Power Systems ， 2021 ， 36 （ 3 ）： 2186 - 2196 .

FIORETTO F ， MAK T W K ， VAN HENTENRYCK P . Differential privacy for power grid obfuscation ［J］. IEEE Transactions on Smart Grid ， 2020 ， 11 （ 2 ）： 1356 - 1366 .

李智虎，钟林，许海清，等 . 可监管的电力区块链交易隐私保护技术研究［J］. 密码学报， 2022 ， 9 （ 6 ）： 1014 - 1027 .

LI Zhihu ， ZHONG Lin ， XU Haiqing ， et al . A supervised power blockchain transaction privacy protection system ［J］. Journal of Cryptologic Research ， 2022 ， 9 （ 6 ）： 1014 - 1027 .

WANG H F ， LIAO J G . Blockchain privacy protection algorithm based on Pedersen commitment and zero-knowledge proof ［C］// 4th International Conference on Blockchain Technology and Applications ， December 17-19 ， 2021 ， Xi’an， China .

赵丙镇，陈智雨，闫龙川，等 . 基于区块链架构的电力业务交易数据隐私保护［J］. 电力系统自动化， 2021 ， 45 （ 17 ）： 20 - 26 .

ZHAO Bingzhen ， CHEN Zhiyu ， YAN Longchuan ， et al . Privacy protection of power business transaction data based on blockchain framework ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 17 ）： 20 - 26 .

ALLOGHANI M ， ALANI M M ， AL-JUMEILY D ， et al . A systematic review on the status and progress of homomorphic encryption technologies ［J］. Journal of Information Security and Applications ， 2019 ， 48 ： 102362 .

FAN J ， VERCAUTEREN F . Somewhat practical fully homomorphic encryption ［J］. IACR Cryptology ePrint ， 2012 ： 1 - 19 .

CHEON J H ， KIM A ， KIM M ， et al . Homomorphic encryption for arithmetic of approximate numbers ［M］// Advances in Cryptology . Cham， Germany ： Springer International Publishing ， 2017 ： 409 - 437 .

ACAR A ， AKSU H ， ULUAGAC A S ， et al . A survey on homomorphic encryption schemes： theory and implementation ［J］. ACM Computing Surveys ， 51 （ 4 ）： 79 .

JAUERNIG P ， SADEGHI A R ， STAPF E . Trusted execution environments： properties， applications， and challenges ［J］. IEEE Security & Privacy ， 2020 ， 18 （ 2 ）： 56 - 60 .

VOLOS S ， VASWANI K ， BRUNO R . Graviton： trusted execution environments on GPUs ［C］// 13th USENIX conference on Operating Systems Design and Implementation ， October 8-10 ， 2018 ， Carlsbad， USA ： 681 - 696 .

ZHENG W ， WU Y ， WU X X ， et al . A survey of Intel SGX and its applications ［J］. Frontiers of Computer Science ， 2020 ， 15 （ 3 ）： 153808 .

FEI S F ， YAN Z ， DING W X ， et al . Security vulnerabilities of SGX and countermeasures： a survey ［J］. ACM Computing Surveys ， 54 （ 6 ）： 126 .

LEE M ， LEE P ， JEONG D ， et al . RE100 for 100% renewable electricity： status and prospects ［J］. Journal of Korean Society of Environmental Engineers ， 2023 ， 45 （ 3 ）： 161 - 169 .

LYSYANSKAYA A ， PEIKERT C . Adaptive security in the threshold setting： from cryptosystems to signature schemes ［M］// Advances in Cryptology . Berlin， Germany ： Springer Berlin Heidelberg ， 2001 ： 331 - 350 .

MA H ， HAN S ， LEI H . Optimized paillier’s cryptosystem with fast encryption and decryption ［C］// Annual Computer Security Applications Conference ， December 6-10 ， 2021 ， Austin， USA ： 106 - 118 .

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