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

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。

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.