基于区块链的电动汽车充电桩两阶段交易优化

doi:10.12204/j.issn.1000-7229.2021.12.011

电力建设 ›› 2021, Vol. 42 ›› Issue (12): 93-103.doi: 10.12204/j.issn.1000-7229.2021.12.011

• 电动汽车参与电网调度的关键技术·栏目主持傅质馨副教授· • 上一篇下一篇

基于区块链的电动汽车充电桩两阶段交易优化

赵思翔¹, 王亚超¹, 巨汉基¹, 胡天舒², 褚凤鸣²()

1.国网冀北营销服务中心(资金集约中心、计量中心),北京市 102208
2.北京化工大学机电工程学院,北京市 100029

收稿日期:2021-04-29 出版日期:2021-12-01 发布日期:2021-11-26
通讯作者: 褚凤鸣 E-mail:BEV_buct@163.com
作者简介:赵思翔(1989),男,硕士,工程师,主要研究方向为智能用电、电测计量;
王亚超(1984),男,博士,工程师,主要研究方向为电动汽车充换电技术、客户侧储能检测技术等;
巨汉基(1982),男,博士,高级工程师,主要研究方向为智能用电、电测计量;
胡天舒(1998),女,硕士研究生,主要研究方向为电动汽车充电
基金资助:
国家电网公司科技项目“基于区块链的电动汽车能源服务可信性提升关键技术研究”(52018520002T)

Two-Stage Transaction Optimization for Electric Vehicle Charging Piles Applying Blockchain Technology

ZHAO Sixiang¹, WANG Yachao¹, JU Hanji¹, HU Tianshu², CHU Fengming²()

1. State Grid Jibei Marketing Service Center (Fund Intensive Control Center and Metrology Center,Beijing 102208,China
2. College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China

Received:2021-04-29 Online:2021-12-01 Published:2021-11-26
Contact: CHU Fengming E-mail:BEV_buct@163.com
Supported by:
State Grid Corporation of China Research Program(52018520002T)

摘要/Abstract

摘要：

为了解决电动汽车大规模发展带来的充电交易主体之间的信任问题,提出了基于区块链的电动汽车充电桩两阶段交易优化方法。首先,设计电动汽车充电桩两阶段交易优化框架;然后,为了避免电网负荷过载给电网的安全稳定运行带来影响,以电网容量裕度为约束,引入双向交易市场、P2P交易市场,在各个充电站之间进行充电权交易,构建电网与电动汽车充电桩交易优化模型;其次,为了降低充电站的偏差惩罚成本以及引导电动车车主有序充电,构建了基于需求响应的电动汽车充电桩与车主交易优化模型;最后,以某一仿真场景为例进行算例分析,验证模型的有效性。算例结果表明:基于区块链的两阶段交易优化模型,能提高充电站的收益,降低系统峰谷差。

关键词: 区块链, 电动汽车, 交易优化, 双向交易, P2P交易

Abstract:

In order to solve the problem of trust between charging transaction subjects caused by the large-scale development of electric vehicles, this paper proposes a two-stage transaction optimization method for electric vehicle charging piles applying blockchain technology. Firstly, a two-stage transaction optimization framework for electric vehicle charging piles is designed. Then, in order to avoid the impact of overload on the safe and stable operation of the grid, the two-way trading market and P2P trading market are introduced with the capacity margin of the power grid as the constraint. The method performs charging rights transactions between charging stations, and builds an optimization model for the grid and electric vehicle charging pile transactions. Secondly, in order to reduce the deviation penalty cost of charging stations and guide electric vehicle owners to charge in an orderly manner, an optimization model based on demand response is built for the transactions between charging piles and the users. Finally, a simulation scenario is taken as an example to verify the validity of the model. The results of calculation examples show that the two-stage transaction optimization model based on blockchain technology can increase the revenue of the charging station and reduce the peak-to-valley difference of the system.

Key words: blockchain, electric vehicle, transaction optimization, two-way transaction, P2P transaction

中图分类号:

TM73

赵思翔, 王亚超, 巨汉基, 胡天舒, 褚凤鸣. 基于区块链的电动汽车充电桩两阶段交易优化[J]. 电力建设, 2021, 42(12): 93-103.

ZHAO Sixiang, WANG Yachao, JU Hanji, HU Tianshu, CHU Fengming. Two-Stage Transaction Optimization for Electric Vehicle Charging Piles Applying Blockchain Technology[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(12): 93-103.

图/表 13

图1 电动汽车充电桩两阶段交易优化框架

Fig.1 Two-stage transaction optimization framework for electric vehicle charging piles

表1 各信誉值初始结果

Table 1 Allocation result of initial reputation values

表2 充电站向电网购电价格

Table 2 Electricity purchase price of charging station from the grid

图2 系统典型日基础负荷曲线

Fig.2 Typical daily base load curve of the system

表3 初始充电权分配结果

Table 3 Allocation result of initial charging rights

表4 双向交易结果

Table 4 Results of two-way transaction

表5 情景设置

Table 5 Scenarios setting

图3 充电站收益变化情况

Fig.3 Changes in the revenue of charging stations

图4 电动汽车分时电价对比

Fig.4 Comparison of electric vehicle time-of-use price

图5 地区分情景负荷曲线对比

Fig.5 Comparison of load curves in regional scenarios

表6 不同情景下充电站售电收益对比

Table 6 Comparison of electricity sales revenue of charging stations under different scenarios

图6 充电价格阈值敏感性分析

Fig.6 Sensitivity analysis of charging price threshold

图7 信誉值设置对充电站和车主的影响

Fig.7 The influence of reputation value setting on charging stations and car owners

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基于区块链的电动汽车充电桩两阶段交易优化

Two-Stage Transaction Optimization for Electric Vehicle Charging Piles Applying Blockchain Technology

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