智能电网场景下基于MEC和D2D的时延对称性研究

Time⁃delay symmetry based on mobile edge computing and D2D for the smart grid

智能电网以电力线路及终端电力设备为基础,并与大量传感设备、信号发送及接收设备构成的信息交互系统相连接而构成。当前智能电网中电力设备接入的密集度越来越高,传统的信息交互系统无法保证电力设备的时延对称性。随着第五代(5th Generation,5G)移动通信技术的高速发展,将5G通信网应用于智能电网成为可能。文中针对电力设备间的时延差最小化问题,利用5G通信网中的移动边缘计算(Mobile Edge Computing,MEC)技术和设备到设备通信(Device to Device,D2D)技术,提出了基于时延对称优化的计算任务比例和功率联合分配方案,将复杂的原始问题分解为子问题,并采用非线性规划的方法分别求解,对终端电力设备的发送功率以及任务分配比例进行优化。通过仿真分析证明,文中所提方案有效降低了信息交互系统的时延差,提升了信息交互系统的时延对称性。同时,相较于其他方案,所提方案具有更好的时延对称性。

A smart grid is composed of power lines and power equipment that are connected by the information interaction system composed of a large number of sensing equipment,as well as the signal transmitting and receiving equipment.At present,the intensity of power equipment access in the smart grid is increasing,and the traditional information interaction system cannot guarantee the time delay symmetry of the power equipment.With the rapid development of the 5th generation mobile networks,it is possible to apply 5G Communication Network to the smart grid information interaction system.In order to minimize the delay difference between the power equipment,this paper proposes a joint assignment scheme of computing task proportion and power based on symmetric delay optimization by using the mobile edge computing(MEC)and the device to device(D2D)technologies in the 5G communication network.The complex original problem is decomposed into sub⁃problems,and the linear programming method is used to solve them.Thus,the transmitted power and the task allocation ratio of terminal power equipment can be optimized.The simulation results show that the proposed joint assignment scheme of the proportion of computing tasks and the transmission power can effectively reduce the delay difference and improve the delay symmetry of the information interaction system.And compared with other schemes,the proposed scheme has better time delay symmetry.