摘要
随着电力市场改革深入推进,绿色理念逐步深入人心。绿电交易促进可再生能源充分消纳,促进各行各业绿色电力消费。以图计算及区块链技术为基础,通过研究绿电追踪机理模型,针对绿电交易网络的电碳耦合特征,构建出电碳耦合与认证协同技术支撑体系。通过分时分区市场碳强度计算,实现对绿电产生、传输、消费等全过程关键数据可信认证与高效共享,实现绿电交易过程的溯源追踪及数据可信认证,基于分析结果实现绿电追踪及要素数据数据的可视化展示。最后,探讨了考虑区块链的绿电追踪认证协同共享关键技术应用业务场景,为各方市场主体提供数据共享、激励效益与理论参考价值。
With the deepening of the reform of the electricity market,the green concept is gradually gaining popularity.Green electricity trading promotes the full consumption of renewable energy and promotes green electricity consumption in all walks of life.Based on graph computing and blockchain technology,by building a research model of green electricity tracking mechanism,aiming at the electricity-carbon coupling characteristics of green electricity trading network this paper builds a collaborative technical support system for electricity-carbon coupling and certification,and realizes the trusted authentication and efficient sharing of key data in the whole process of green electricity generation,transmission,consumption,etc.through time-sharing and partitioned market carbon intensity calculation,also realize the traceability tracking and data credible authentication of the green electricity transaction process.Then,we realize green electricity tracking and visual display of element data based on analysis results.Finally,we discusse the application business scenarios of green electricity tracking and certification collaboration key technologies considering blockchain,which provids data sharing,incentive benefits and theoretical reference value for all market users.
作者
赵少东
李志宏
刘广一
李业
邓源彬
汤亚宸
程光影
ZHAO Shaodong;LI Zhihong;LIU Guangyi;LI Ye;DENG Yuanbin;TANG Yachen;CHENG Guangying(Shenzhen Power Supply Co.,Ltd.,Shenzhen 518033,China;Shanghai Envision Kechuang Smart Technology Co.,Ltd.,Shanghai 201203,China;China Southern Power Grid Digital Platform Technology Company,Shenzhen 518053,China)
出处
《供用电》
2022年第10期27-35,57,共10页
Distribution & Utilization
基金
关于印发国家区块链创新应用试点名单的通知(中网办秘字﹝2022﹞72号)
深圳供电局有限公司科技项目“基于区块链的碳迹追踪关键技术研究与应用”。
关键词
绿电交易
电力碳排放强度
绿电追踪
电碳协同
绿电认证
图计算
图建模
green electricity trading
electricity carbon emission intensity
green electricity tracking
electricity carbon coordination
green electricity certification
graph computing
graph data model
作者简介
赵少东(1983—),男,硕士,高级工程师,研究方向为电力企业数字化;李志宏(1981—),男,硕士,高级工程师,研究方向为智能电网调度运行仿真、电力市场及大数据应用;刘广一(1963—),男,博士,教授级高级工程师,博士生导师,研究方向为智能电网、主动配电网、大数据分析和电力市场等。
