面向区块链技术应用的能源交易系统效果评价

doi:10.3969/j.issn.2097-0706.2024.04.010

摘要/Abstract

摘要：

随着我国能源体系的转型发展与新型电力系统的建设，以清洁能源为主的分布式能源成为重要供能方式。传统能源市场交易方式单一，大多采用集中化的运营管理方式，无法解决分散式能源系统的交易需求。区块链技术作为新兴技术手段，其去中心化、不可篡改等技术特点与分布式能源系统相契合，能够解决新型能源交易现存的一些问题。基于此，提出一种基于区块链技术的新型能源交易流程，给出智慧能源一体化、智慧能源托管、区域共享能源3种商业模式，并将能源交易服务业务划分为运维管理服务、系统改造服务以及市场交易服务，构建区块链能源交易系统效果评价指标体系。应用层次分析-模糊综合评价方法进行评价，通过算例仿真分析，证明基于区块链技术的能源交易系统效果评价指标体系的有效性。

关键词: 新型电力系统, 区块链技术, 能源交易模式, 能源服务业务, 评价指标体系, 交易效果评价

Abstract:

Clean energy-based distributed energy has become an important part of China's energy transition and new power system construction. Since traditional energy transactions mostly take single trading mode and centralized operation and management mode， the demands for decentralized energy system transactions can hardly be met. Blockchain，an emerging technical means， is suitable for distributed energy systems in solving the existing problems of new energy trading， due to the decentralization， tamper-proof and other technical characteristics of the technology. Based on this， a new energy transaction process based on blockchain technology is proposed. Business models are divided into three categories： smart energy integration， smart energy hosting and regional shared energy. Energy transaction services can be partitioned into three categories： operation and maintenance management service， system transformation service and market service. The evaluation index system for energy trading systems taking blockchain technology is constructed， and the trading system is analyzed by Analytic Hierarchy Process（AHP）-fuzzy comprehensive evaluation method. According to the results of the simulated case， the effectiveness of the evaluation index system for energy trading systems taking blockchain technology is proven.

Key words: new power system, blockchain technology, energy trading model, energy service business, evaluation index system, trading effect evaluation

中图分类号:

TM715

王永利, 王亚楠, 马子奔, 秦雨萌, 陈锡昌, 滕越. 面向区块链技术应用的能源交易系统效果评价[J]. 综合智慧能源, 2024, 46(4): 78-84.

WANG Yongli, WANG Yanan, MA Ziben, QIN Yumeng, CHEN Xichang, TENG Yue. Effectiveness evaluation on energy trading systems taking blockchain technology[J]. Integrated Intelligent Energy, 2024, 46(4): 78-84.

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参考文献 24

[1]	高赐威, 童格格. 区块链技术在分布式发电市场化交易中的应用分析[J]. 电力需求侧管理, 2018, 20(4):1-4,15.
	GAO Ciwei, TONG Gege. Application analysis of blockchain technology in market-based transaction of distributed generation[J]. Power Demand Side Management, 2018, 20(4):1-4,15.
[2]	张沈习, 王丹阳, 程浩忠, 等. 双碳目标下低碳综合能源系统规划关键技术及挑战[J]. 电力系统自动化, 2022, 46(8):189-207.
	ZHANG Shenxi, WANG Danyang, CHENG Haozhong, et al. Key technologies and challenges of low-carbon integrated energy system planning for carbon emission peak and carbon neutrality[J]. Automation of Electric Power Systems, 2022, 46(8): 189-207.
[3]	陈胜, 卫志农, 顾伟, 等. 碳中和目标下的能源系统转型与变革:多能流协同技术[J]. 电力自动化设备, 2021, 41(9):3-12.
	CHEN Sheng, WEI Zhinong, GU Wei, et al. Carbon neutral oriented transition and revolution of energy systems:multi-energy flow coordination technology[J]. Electric Power Automation Equipment, 2021, 41(9): 3-12.
[4]	李忱息, 刘培, 李政. 城市能源系统碳达峰路径最优化[J]. 清华大学学报(自然科学版), 2022, 62(4):810-818.
	LI Chenxi, LIU Pei, LI Zheng. Optimization of urban energy system development plans for controlling peak emissions[J]. Journal of Tsinghua University (Science and Technology), 2022, 62(4): 810-818.
[5]	黄远明, 黄志生, 周睿, 等. 基于深度学习的能源系统需求响应短期负荷预测[J]. 电子设计工程, 2021, 29(10):96-100,110.
	HUANG Yuanming, HUANG Zhisheng, ZHOU Rui, et al. Short-term load forecasting of energy system demand response based on deep learning[J]. Electronic Design Engineering, 2021, 29 (10): 96-100,110.
[6]	孙天晴, 郑一, 王昊, 等. 中国城市能源系统可持续性评价体系实证研究[J]. 中国人口·资源与环境, 2010, 20(11):1-6.
	SUN Tianqing, ZHENG Yi, WANG Hao, et al. Empirical research on sustainable evaluation system for China's urban energy[J]. China Population,Resources and Environment, 2010, 20(11):1-6.
[7]	刘双印, 雷墨鹥兮, 王璐, 等. 区块链关键技术及存在问题研究综述[J]. 计算机工程与应用, 2022, 58(3):66-82. doi: 10.3778/j.issn.1002-8331.2107-0404
	LIU Shuangyin, LEI Moyixi, WANG Lu, et al. Survey of blockchain key technologies and existing problems[J]. Computer Engineering and Applications, 2022, 58(3): 66-82. doi: 10.3778/j.issn.1002-8331.2107-0404
[8]	王群, 李馥娟, 倪雪莉, 等. 区块链共识算法及应用研究[J]. 计算机科学与探索, 2022, 16(6):1214-1242. doi: 10.3778/j.issn.1673-9418.2112077
	WANG Qun, LI Fujuan, NI Xueli, et al. Survey on blockchain consensus algorithms and application[J]. Journal of Frontiers of Computer Science and Technology 2022, 16(6):1214-1242.
[9]	刘海鸥, 何旭涛, 李凯, 等. 区块链数据溯源机制研究综述[J]. 情报杂志, 2022, 41(7):100-106,40.
	LIU Haiou, HE Xutao, LI Kai, et al. A Literature review of blockchain traceability mechanism[J]. Journal of Intelligence, 2022, 41(7):100-106,40.
[10]	韩龙, 程乐. 区块链智能合约的法律解构与风险纾解[J]. 学习与实践, 2022, 457(3):54-62.
	HAN Long, CHENG Le. Legal Deconstruction and risk reduction of blockchain smart contract[J]. Study and Practice, 2022, 457(3): 54-62.
[11]	刘沆, 曹雨微, 任泳洁, 等. 区块链技术在分布式能源交易体系中的应用研究[J]. 价格理论与实践, 2021(8):154-158,187.
	LIU Gang, CAO Yuwei, REN Yongjie, et al. Application of blockchain technology in distributed energy trading system[J]. Price:Theory & Practice, 2021(8):154-158,187.
[12]	王龙泽. 基于区块链的综合能源能量管理系统研究[D]. 北京: 华北电力大学, 2023.
	WANG Longze. Research on integrated energy energy management system based on blockchain[D]. Beijing: North China Electric Power University, 2023.
[13]	杨锡运, 陶准, 黄欣欣, 等. 基于异构能源区块链的综合能源系统交易模型[J]. 电力自动化设备, 2021, 41(9):224-231.
	YANG Xiyun, TAO Zhun, HUANG Xinxin, et al. Transaction model of integrated energy system based on heterogeneous energy blockchain[J]. Electric Power Automation Equipment, 2021, 41(9):224-231.
[14]	徐天天, 陈甜妹, 俞晨玺, 等. 基于区块链的电网碳足迹采集和清洁能源利用模型的研究[J]. 制造业自动化, 2023, 45(8):59-62.
	XU Tiantian, CHEN Tianmei, YU Chenxi, et al. Research on grid carbon footprint collection and clean energy utilization model based on blockchain[J]. Manufacturing Automation, 2023, 45(8):59-62.
[15]	张艺, 施骞. 基于能源区块链的综合能源系统调度优化模型及其应用[J]. 系统管理学报, 2020, 29(6):1161-1168.
	ZHANG Yi, SHI Qian. Dispatching optimization model and application of integrated energy system based on energy blockchain[J]. Journal of Systems & Managemen. 2020, 29(6):1161-1168.
[16]	王永利, 刘振, 薛露, 等. 基于多主体博弈的综合能源系统运行优化方法[J]. 控制理论与应用, 2022, 39(3):499-508.
	WANG Yongli, LIU Zhen, XUE Lu, et al. Optimization method of integrated energy system operation based on multi-body game[J]. Control Theory & Applications, 2022, 39(3): 499-508.
[17]	仝新宇, 张宇泽, 张长生, 等. 基于合作博弈的配电系统源网荷间市场化交易方法研究[J]. 电力需求侧管理, 2023, 25(1):86-91.
	TONG Xinyu, ZHANG Yuze, ZHANG Changsheng, et al. Market-oriented trading method to source-grid-load trading in distribution network based on cooperative game[J]. Power Demand Side Management, 2023, 25(1): 86-91.
[18]	何清素, 韩庆芝, 刘志远, 等. 区块链技术在碳交易中的应用研究[J]. 综合智慧能源, 2022, 44(3):23-28. doi: 10.3969/j.issn.2097-0706.2022.03.004
	HE Qingsu, HAN Qingzhi, LIU Zhiyuan, et al. Applications of blockchain technology in carbon trading[J]. Integrated Intelligent Energy, 2022, 44(3):23-28. doi: 10.3969/j.issn.2097-0706.2022.03.004
[19]	周冠廷, 徐凯, 刘建伟, 等. 基于图论的区域综合能源服务商交易路径优化[J]. 综合智慧能源, 2024, 46(2):49-58. doi: 10.3969/j.issn.2097-0706.2024.02.007
	ZHOU Guanting, XU Kai, LIU Jianwei, et al. Path optimization of regional integrated energy service providers'trades based on graph theory[J]. Integrated Intelligent Energy, 2024, 46(2):49-58. doi: 10.3969/j.issn.2097-0706.2024.02.007
[20]	喻小宝, 赵雯婧, 孙艺新. 计及双重不确定性的综合能源系统运行优化模型研究[J]. 综合智慧能源, 2023, 45(10):10-17. doi: 10.3969/j.issn.2097-0706.2023.10.002
	YU Xiaobao, ZHAO Wenjing, SUN Yixin. Integrated energy system operation optimization model considering double uncertainties[J]. Integrated Intelligent Energy, 2023, 45(10):10-17. doi: 10.3969/j.issn.2097-0706.2023.10.002
[21]	申融容, 姜丰, 韦泽全, 等. 基于博弈论组合赋权和MARCOS的能源互联网园区项目综合效益评价[J]. 综合智慧能源, 2023, 45(11):70-81. doi: 10.3969/j.issn.2097-0706.2023.11.009
	SHEN Rongrong, JIANG Feng, WEI Zequan, et al. Comprehensive benefit evaluation for energy internet park projects based on combined weight of game[J]. Integrated Intelligent Energy, 2023, 45(11):70-81. doi: 10.3969/j.issn.2097-0706.2023.11.009
[22]	赵静. 园区综合能源项目综合评价体系研究[D]. 北京: 华北电力大学, 2020.
	ZHAO Jing. Research on comprehensive evaluation system of integrated energy projects in parks[D]. Beijing: North China Electric Power University, 2020.
[23]	单琬馨. 基于区块链的供应链数据治理评价体系研究[J]. 项目管理技术, 2023, 21(6):143-146.
	SHAN Wanxin. Research on supply chain data governance evaluation system based on blockchain[J]. Project Management Technolog, 2023, 21(6):143-146.
[24]	钟永洁, 纪陵, 李靖霞, 等. 综合能源系统多场景优化运行模式综合评估方法研究[J]. 综合智慧能源, 2023, 45(10):18-24. doi: 10.3969/j.issn.2097-0706.2023.10.003
	ZHONG Yongjie, JI Ling, LI Jingxia, et al. Comprehensive evaluation method for multi-scenario optimization operation modes of the integrated energy system[J]. Integrated Intelligent Energy, 2023, 45(10):18-24. doi: 10.3969/j.issn.2097-0706.2023.10.003

三级指标	指标值	优	良	中	差
成本降低率	12.58	20	15	10	5
效益提升率	9.24	20	15	10	5
可再生能源利用率	87.14	95	90	80	60
配电网线损率	75.18	90	80	70	60
数据上链率	92.85	95	90	85	80
数据可靠率	98.14	100	95	90	80
环节满意度	82.34	100	80	60	40
效果满意度	89.58	100	80	60	40

三级指标	优	良	中	差
成本降低率	0	0.484	0.516	0
效益提升率	0	0	0.152	0.848
可再生能源利用率	0	0.286	0.714	0
配电网线损率	0	0.482	0.518	0
数据上链率	0.43	0.57	0	0
数据可靠率	0.372	0.628	0	0
环节满意度	0.883	0.117	0	0
效果满意度	0.521	0.479	0	0

二级指标	经济性	能源性	技术性	服务性
经济性	1	1/3	1/2	2
能源性	3	1	3/2	4
技术性	2	2/3	1	3
服务性	1/2	1/4	1/3	1

二级指标	指标权重	三级指标	指标权重
经济性	0.163 8	成本降低率	0.081 9
经济性	0.163 8	效益提升率	0.081 9
能源性	0.401 3	可再生能源利用率	0.200 65
能源性	0.401 3	配电网线损率	0.200 65
技术性	0.337 5	数据上链率	0.168 75
技术性	0.337 5	数据可靠率	0.168 75
服务性	0.097 4	环节满意度	0.048 7
服务性	0.097 4	效果满意度	0.048 7

指标	指标综合评价结果				指标等级
指标	优	良	中	差	指标等级
经济性	0.000 0	0.242 0	0.334 0	0.424 0	差
能源性	0.000 0	0.384 0	0.616 0	0.000 0	中
技术性	0.401 0	0.599 0	0.000 0	0.000 0	良
服务性	0.702 0	0.298 0	0.000 0	0.000 0	优
综合评价结果	0.203 7	0.424 9	0.301 9	0.069 4	良