基于区块链的产消用户间电力零售模型量化初探  被引量:4

Preliminary study on the quantification of electricity retail model between production and consumption users based on blockchain

在线阅读下载全文

作  者:霍雪松 王岗 吉斌 昌力[2] 王黎明 莫峻[3] HUO Xuesong;WANG Gang;JI Bin;CHANG Li;WANG Liming;MO Jun(State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210024,China;NARI Group Co.,Ltd.,Nanjing 211106,China;School of Electrical Engineering,Guangxi University,Nanning 530004,China)

机构地区:[1]国网江苏省电力有限公司,南京210024 [2]国电南瑞科技股份有限公司,南京211106 [3]广西大学电气工程学院,南宁530004

出  处:《电力需求侧管理》2021年第4期84-89,共6页Power Demand Side Management

基  金:国家电网有限公司科技项目(1300-202033031A-0-0-00)。

摘  要:为促进电力市场发展,提高电力零售市场化水平,实现用户侧分布式新能源接入的友好消纳,基于区块链技术提出了一种去中心电力零售交易的量化模型。通过对社区电力用户间零售交易的架构、机制、模式以及效益评估进行建模,并建立了去中心化电力零售交易的均衡出清模型。最后,结合算例验证所提模型可行性和促进市场化发展的潜力,分别验证了基于区块链技术的去中心电力零售交易具有降低买方费用、提高卖方收益、减少备用、提高社会效益以及改善用户用电满意度的作用。为开放配电网电力市场的分布式电力零售交易提供了参考。In order to promote the development of electricity marketization,improve the level of electricity retail marketization,and realize the friendly consumption of user-side distributed new energy access,blockchain technology is combined to propose a way to realize decentralized electricity retail quantitative model of transactions.Through modeling the structure,mechanism,mode and benefit evaluation of retail transactions among community power users,a balanced clearing model for decentralized power retail transactions is established.Finally,the example is used to verify the feasibility of the model proposed and the potential to promote market-oriented development.It is verified that decentralized power retail transactions based on blockchain technology can reduce buyers’fees,increase sellers’revenue,reduce reserve,improve social benefits and improve the role of user satisfaction with electricity.An alternative way to start the distributed power retail transactions of the open distribution network power market is provided.

关 键 词:电力交易 区块链 去中心化 配网电力零售 效益评估 

分 类 号:TM71[电气工程—电力系统及自动化] TM76

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象