Journal of Xidian University ›› 2021, Vol. 48 ›› Issue (3): 131-137.doi: 10.19665/j.issn1001-2400.2021.03.017

• Computer Science and Technology & Artificial Intelligence • Previous Articles     Next Articles

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

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

  1. 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

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

CLC Number: 

  • TP13