基于区块链技术的微电网群分布式电能交易模式

doi:10.12204/j.issn.1000-7229.2022.06.002

电力建设 ›› 2022, Vol. 43 ›› Issue (6): 12-23.doi: 10.12204/j.issn.1000-7229.2022.06.002

• 双碳目标驱动下的能源电力经济与市场机制·栏目主特文福栓教授、刘敦楠教授 • 上一篇下一篇

基于区块链技术的微电网群分布式电能交易模式

朱廷虎(), 刘洋(), 许立雄(), 饶萍(), 李振伟(), 吴涵()

四川大学电气工程学院, 成都市 610065

收稿日期:2021-11-11 出版日期:2022-06-01 发布日期:2022-05-31
通讯作者: 刘洋 E-mail:1576972941@qq.com;yang.liu@scu.edu.cn;xulixiong@163.com;rp20isss@qq.com;815757385@qq.com;949501573@qq.com
作者简介:朱廷虎(1994),男,硕士研究生,主要研究方向为分布式电能交易模式、能源区块链的应用,E-mail:1576972941@qq.com
许立雄(1982),男,博士,副教授,硕士生导师,主要研究方向为电力系统稳定与控制,E-mail:xulixiong@163.com
饶萍(1997),女,硕士研究生,主要研究方向为配电网规划与运行,E-mail:rp20isss@qq.com
李振伟(1997),男,硕士研究生,主要研究方向为综合能源系统规划运行、能源区块链的应用,E-mail:815757385@qq.com
吴涵(1997),女,硕士研究生,主要研究方向为综合能源系统优化调度,E-mail:949501573@qq.com
基金资助:
四川省科技计划资助(2021YFSY0019);国网四川省电力公司项目“基于区块链及智能合约技术的社区能源互联网集群电能分布式交易模式构建分析”(B7199721B017)

Research on Distributed Electricity Transaction Mode of Microgrid Cluster Applying Blockchain Technology

ZHU Tinghu(), LIU Yang(), XU Lixiong(), RAO Ping(), LI Zhenwei(), WU Han()

College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Received:2021-11-11 Online:2022-06-01 Published:2022-05-31
Contact: LIU Yang E-mail:1576972941@qq.com;yang.liu@scu.edu.cn;xulixiong@163.com;rp20isss@qq.com;815757385@qq.com;949501573@qq.com
Supported by:
Sichuan Science and Technology Program(2021YFSY0019);State Grid Sichuan Electric Power Company Program(B7199721B017)

摘要/Abstract

摘要：

传统集中交易模式在处理高频、小量的微电网群电能交易时存在运行成本高、信息不安全等弊端。提出了一种基于区块链的微电网群分布式电能交易模型,并设计了与之匹配的智能合约。首先,针对统一定价的过网费收取方式未按配电网实际运营成本公平分摊到每笔交易的不足,基于功率传输分布因子提出考虑配电网多项运行成本的动态过网费模型。其次,为保证市场主体的用能偏好,构建计及用户信用值偏好的购电目标策略函数,并采用改进粒子群算法对交易撮合过程进行求解。再次,为提高交易效率及维持配电网的安全运行,采取自适应进取型策略进行报价更新,并设计多轮滚动的约束校核法对配电网进行安全校核。最后,在Matlab仿真平台及以太坊电能交易平台验证了所提交易模型的合理性和智能合约的有效性。

关键词: 区块链, 微电网群, 分布式电能交易, 动态过网费, 信用值偏好

Abstract:

The traditional centralized transaction mode has some defects, such as high operating cost and information insecurity, when dealing with high frequency and small amount of electricity transaction in microgrid cluster. Therefore, this paper proposes a distributed electricity transaction model of microgrid cluster applying blockchain technology, and designs the corresponding smart contract. Firstly, for the deficiency that unified pricing charging method of network fee is not fairly allocated to each transaction according to the actual operating cost of distribution network, a dynamic network fee model considering multiple operation costs of distribution network is proposed on the basis of power transfer distribution factors. Secondly, in order to ensure the preference of market subjects, an objective strategy function of power purchase considering user credit preference is established, and the improved particle swarm algorithm is used to solve matching process of transaction. Thirdly, this paper adopts self-adaptive aggressive strategy to update the quotation for transaction efficiency, and proposes the multi-round rolling constraint checking method to maintain safe operation of distribution network. Ultimately, the relevant case studies verify the rationality of the proposed model and smart contract.

Key words: blockchain, microgrid cluster, distributed electricity transaction, dynamic network fee, credit preference

中图分类号:

TM734

朱廷虎, 刘洋, 许立雄, 饶萍, 李振伟, 吴涵. 基于区块链技术的微电网群分布式电能交易模式[J]. 电力建设, 2022, 43(6): 12-23.

ZHU Tinghu, LIU Yang, XU Lixiong, RAO Ping, LI Zhenwei, WU Han. Research on Distributed Electricity Transaction Mode of Microgrid Cluster Applying Blockchain Technology[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(6): 12-23.

图/表 19

图1 微电网群分布式电能交易框架

Fig.1 Distributed electricity transaction framework of microgrid cluster

图2 智能合约执行流程图

Fig.2 The execution flow of smart contract

图3 交易撮合过程示意图

Fig.3 Diagram of the dealmaking process

图4 IEEE 33节点配电网系统

Fig.4 IEEE 33-node distribution network system

图5 购电微电网的成交电量图

Fig.5 Transaction volume of buyer’s microgrid

图6 03:00时购电节点成交电量

Fig.6 Transaction volume of buyer’s node at 03:00

图7 过网费参数调整后03:00时购电节点成交电量

Fig.7 Transaction volume of buyer’s node at 03:00 after adjustment of network fee parameters

图8 平均成交价格对比图

Fig.8 A comparison of average transaction price

图9 节点电压幅值分布范围

Fig.9 Distribution range of node voltage amplitudes

表1 购电节点交易信息

Table 1 Transaction information of buyer’s nodes

图A1 售电微电网上报售电量

Fig. A1 The amount of electricity that microgrid intends to sell

图2A 购电微电网上报购电量

Fig. A2 The amount of electricity that microgrid intends to buy

图A3 售电微电网电能质量等级

Fig. A3 Power quality grade of seller’s microgrid

图A4 售电微电网信用值

Fig. A4 Credit value of seller’s microgrid

图A5 购电微电网信用值偏好阈值

Fig. A5 Preference threshold of credit value of buyer’s microgrid

图A6 智能合约交易记录

Fig. A6 Transaction records of smart contracts

表A1 分时和上网电价

Table A1 Time-of-use tariff and on-grid tariff

表A2 IEEE 33配电系统线路信息

Table A2 Line information of IEEE33 node power distribution system

表A3 IEEE 33配电系统等效阻抗更新

Table A3 Update equivalent impedance of IEEE 33 node power distribution system

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基于区块链技术的微电网群分布式电能交易模式

Research on Distributed Electricity Transaction Mode of Microgrid Cluster Applying Blockchain Technology

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