Research on Model of Blockchain-enabled Power Carbon Emission Trade Considering Credit Scoring Mechanism
CUI Shuyin, LU Yi, CHANG Xiao
School of Economics and Management, Shanghai University of Electric Power, Shanghai 200090,China
Online:2019-01-01
Supported by:
his work is supported by the Project of Shanghai University Humanities and Social Sciences Key Research Base: “One Belt, One Road” Energy and Power Management and Development Strategy Research Center (No.WKJD15004).
CUI Shuyin, LU Yi, CHANG Xiao. Research on Model of Blockchain-enabled Power Carbon Emission Trade Considering Credit Scoring Mechanism[J]. Electric Power Construction, 2019, 40(1): 104-111.
[1]中华人民共和国国务院新闻办公室.强化应对气候变化行动:中国国家自主贡献[R/OL]. (2015-11-18)[2018-05-26].http://www.scio.gov.cn/xwfbh/xwbfbh/wqfbh/2015/20151119/xgbd33811/Document/1455864/1455864.htm.
[2]柴麒敏,傅莎,郑晓奇,等.中国重点部门和行业碳排放总量控制目标及政策研究[J].中国人口·资源与环境,2017,27(12):1-7.
CHAI Qimin, FU Sha, ZHENG Xiaoqi, et al. Carbon emission cap control target and policy study of selected sectors and industries in China[J]. China Population, Resources and Environment,2017, 27(12):1-7.
[3]中华人民共和国发展和改革委员会. 国家发展改革委关于印发《全国碳排放权交易市场建设方案(发电行业)》的通知[R/OL].(2017-12-18)[2018-06-19].http://www.ndrc.gov.cn/gzdt/201712/t20171220_871134.html.
[4]郑宇,赵俊华,孟科,等.计及碳交易机制的电力系统随机优化调度[J].电力建设, 2017,38(6):21-27.
ZHENG Yu, ZHAO Junhua, MENG Ke,et al. Carbon trading based stochastic optimal dispatching of power system[J]. Electric Power Construction,2017,38(6):21-27.
[5]狄开丽,李鹏,华浩瑞.计及碳排放成本的交直流混合微网优化运行[J].电力建设,2016,37(7):12-19.
DI Kaili, LI Peng, HUA Haorui. Optimal operation of AC-DC hybrid microgrid considering carbon emission cost[J]. Electric Power Construction, 2016,37(7):12-19.
[6]刘铠诚,孙嘉赣,周任军,等.碳市场下火电统一碳排放基准与减排效应分析[J].电力建设,2018,39(1):113-118.
LIU Kaicheng, SUN Jiagan, ZHOU Renjun, et al. A unified carbon emission benchmark for fossil-fueled units and its effect on carbon emission reduct[J]. Electric Power Construction,2018,39(1):113-118.
[7]娄素华,卢斯煜,吴耀武,等.低碳电力系统规划与运行优化研究综述[J].电网技术,2013,37(6):1483-1490.
LOU Suhua, LU Siyu, WU Yaowu, et al. An overview on low-carbon power system planning and operation optimization[J]. Power System Technology,2013,37(6):1483-1490.
[8]许小虎,邹毅.碳交易机制对电力行业影响分析[J].生态经济,2016,32(3):92-96.
XU Xiaohu, ZOU Yi. Analysis of impact of carbon trading on power industry[J]. Ecological Economy, 2016,32(3):92-96.
[9]梅天华,边巧燕,谢俊,等.考虑碳排放权的低碳电力调度及收益分摊[J].电力系统自动化,2016,40(22):49-55.
MEI Tianhua, BIAN Qiaoyan, XIE Jun, et al. Low-carbon power dispatching and benefit allocation considering carbon emission allowance[J]. Automation of Electric Power Systems,2016,40(22):49-55.
[10]李现忠,蔡兴国,付春梅.碳交易机制下考虑节能减排的竞价交易模式[J].电力系统自动化,2011,35(10):48-52.
LI Xianzhong, CAI Xingguo, FU Chunmei. The bidding transaction mode considering energy saving and emission reduction under the carbon trading mechanism[J]. Automation of Electric Power Systems,2011,35(10):48-52.
[11]TANG Ling, WU Jiaqian, YU Lean, et al. Carbon emissions trading scheme exploration in China: A multi-agent-based model[J]. Energy Policy,2015,81(6):152-169.
[12]蒋泽辉,赵涛,王娟,等.全国性碳交易市场对电力行业的潜在影响:基于多Agent模型[J].现代电力,2017,34(4):86-94.
JIANG Zehui, ZHAO Tao, WANG Juan, et al. Potential effects of carbon emissions trading on china power generation sector based on multi-agent[J]. Modern Electric Power, 2017,34(4): 86-94.
[13]康艳兵,熊小平,赵盟.碳交易本质与制度框架[J].中国发展观察,2015(10):32-35.
KANG Yanbing, XIONG Xiaoping, ZHAO Meng. The nature of carbon trading and the institutional framework[J]. China Development Observation, 2015(10):32-35.
[14]黄超,李晓庆,陈理飞.我国碳排放交易市场建设存在的问题与对策[J].价值工程, 2016, 35(33): 233-235.
HUANG Chao, LI Xiaoqing, CHEN Lifei. Problems and countermeasures in the construction of carbon emission trading market in China[J]. Value Engineering,2016,35(33):233-235.
[15]潘家华.碳排放交易体系的构建、挑战与市场拓展[J].中国人口·资源与环境,2016,26(8):1-5.
PAN Jiahua. Construction,challenges and market expansion of emissions trading system[J]. China Population,Resources and Environment,2016,26(8): 1-5.
[16]张宁,王毅,康重庆,等.能源互联网中的区块链技术:研究框架与典型应用初探[J].中国电机工程学报,2016,36(15):4011-4023.
ZHANG Ning, WANG Yi, KANG Chongqing,et al. Blockchain technique in the energy internet: Preliminary research framework and typical applications[J]. Proceedings of the CSEE,2016,36(15):4011-4023.
[17]袁勇,王飞跃.区块链技术发展现状与展望[J].自动化学报,2016,42(4):481-494.
YUAN Yong, WANG Feiyue. Blockchain: The state of the art and future trends[J]. Acta Automatica Sinica,2016,42(4):481-494.
[18]KHAQQI K N, SIKORSKI J J, HADINOTO K, et al. Incorporating seller/buyer reputation-based system in blockchain-enabled emission trading application[J]. Applied Energy,2018,209(1):8-19.
[19]佘维,胡跃,杨晓宇,等.基于能源区块链网络的虚拟电厂运行与调度模型[J].中国电机工程学报,2017,37(13):3729-3736.
SHE Wei, HU Yue, YANG Xiaoyu,et al. Virtual power plant operation and scheduling model based on energy blockchain network[J]. Proceedings of the CSEE, 2017,37(13): 3729-3736.
[20]刘肖飞. 基于动态授权的拜占庭容错共识算法的区块链性能改进研究[D].杭州:浙江大学,2017.
LIU Xiaofei. Research on performance improvement of blockchain based on dynamic authorization of Byzantine fault tolerance consensus algorithm[D]. Hangzhou: Zhejiang University, 2017.