智能电网中终端用户的双向能量交易算法

doi:10.19665/j.issn1001-2400.2021.03.017

西安电子科技大学学报 ›› 2021, Vol. 48 ›› Issue (3): 131-137.doi: 10.19665/j.issn1001-2400.2021.03.017

• 计算机科学与技术&人工智能 • 上一篇下一篇

智能电网中终端用户的双向能量交易算法

刘迪迪¹(),孙浩天¹(),肖佳文¹(),JIANG Frank¹(),郑鲲鲲²()

1.广西师范大学电子工程学院,广西壮族自治区桂林 541004
2.广东澳鸿科技有限公司,广东中山 528437

收稿日期:2019-12-31 出版日期:2021-06-20 发布日期:2021-07-05
作者简介:刘迪迪(1980—),女,副教授,博士,E-mail:ldd866@gxnu.edu.cn|孙浩天(1994—),男,广西师范大学硕士研究生,E-mail:88256191@qq.com|肖佳文(1997—),男,广西师范大学硕士研究生,E-mail:1378301286@qq.com|JIANG Frank(1974—),男,教授,博士,E-mail:fjiang@gxnu.edu.cn|郑鲲鲲(1974—),男,正高级工程师,E-mail:zhengkunkun@ime.ac.cn
基金资助:
国家自然科学基金项目(62061006);国家自然科学基金项目(61762018);广西自然科学基金项目(2018JJA170167);广西科技基地和人才专项(2018AD19342);广西师范大学博士启动+重点项目(2016ZD008);广西师范大学博士启动+重点项目(2018BQ012);广西研究生教育创新计划项目(XYCSZ2019072);中山科学技术局创新专项项目(2019AG001)

Two-way energy trading algorithms for the end-user in the smart grid

LIU Didi¹(),SUN Haotian¹(),XIAO Jiawen¹(),JIANG Frank¹(),ZHENG Kunkun²()

1. College of Electronic Engineering,Guangxi Normal University,Guilin 541004,China
2. GuangdongAohong Technology Co.LTD,Zhongshan,528437,China

Received:2019-12-31 Online:2021-06-20 Published:2021-07-05

摘要/Abstract

摘要：

针对智能电网中配备有可再生源收集装置和储能电池的终端用户,基于能量收集的随机性、电价变化和电池的存储能力,研究终端用户与电网的双向能量交易问题,目的是最大化用户的收益。采用李雅普诺夫优化理论提出的实时算法复杂度低,且不需要知道用户能量需求、电价变化和可再生源到达的统计特性。理论分析表明,所提算法可使优化目标无限趋于最优。最后通过仿真对比,验证了所提算法的有效性,并分析了储能电池容量大小对用户收益的影响。

关键词: 智能电网, 时变电价, 李雅普诺夫优化, 双向能量交易

Abstract:

In this paper,the problem of two-way energy trading for the end-user in a smart grid is studied,where the end-user is equipped with renewable energy harvesting (EH) devices and the energy storage battery.The goal is to maximize the end-user’s benefits based on the randomness of EH,changes in electricity price,and battery storage capabilities.A real-time algorithm based on the Lyapunov optimization is proposed with low complexity,and it does not require the statistical characteristics of the user energy demand,changes in electricity price,and the arrival of renewable sources.Theoretical analysis shows that the proposed algorithm can make the optimization target infinitely close to optimum.Finally,simulation results show the validity of the proposed algorithm,and the impact of the battery capacity on the end-user’s revenue is analyzed.

Key words: smart grid, time-vary price, Lyapunov optimization, two-way energy trading

中图分类号:

TP13

刘迪迪,孙浩天,肖佳文,JIANG Frank,郑鲲鲲. 智能电网中终端用户的双向能量交易算法[J]. 西安电子科技大学学报, 2021, 48(3): 131-137.

LIU Didi,SUN Haotian,XIAO Jiawen,JIANG Frank,ZHENG Kunkun. Two-way energy trading algorithms for the end-user in the smart grid[J]. Journal of Xidian University, 2021, 48(3): 131-137.

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参数	数值	参数	数值
时隙间隔/min	1	能量收集泊松过程
时隙个数	43 200	能量需求正态分布
电价范围/元	0.5~2.0	元电池容量/kJ	500~5 000
平均能量收集/(kJ·时隙^-1)	45	平均能量需求/(kJ·时隙^-1)	30
β	0.8	b_max/kJ	200

智能电网中终端用户的双向能量交易算法

Two-way energy trading algorithms for the end-user in the smart grid

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