面向电网数据采集系统的多业务资源分配算法

Multi-service Resource Allocation Algorithm for Power Grid Data Collection System

在电网数据采集系统中,各类数据业务在速率、时延等方面对采集系统有着不同的通信服务质量(quality of service,QOS)要求,如何有效利用通信的带宽和功率资源满足各类数据业务的QOS需求成为关键问题。针对这一问题,提出了数据采集系统中多业务QOS保障的资源分配策略。首先,构建电网系统中的数据采集问题模型,并提出最大化系统总效用的优化问题;接着,针对系统中QOS业务和尽最大努力(best effort,BE)业务的不同特性,将原优化问题转换为保障QOS业务限制下最大化BE业务有效容量的问题;最后,提出一种低复杂度的迭代算法,将转换后的问题分解为2个子问题并迭代求解。仿真结果表明:所提策略在满足数据采集QOS的同时,能够显著提升系统整体的有效容量。

In power grid data collection systems,different types of data services require different quality of service(QOS)in terms of data rate,delay,and so on.It is a key issue that how to effectively use the communication bandwidth and power resources to meet the demand of QOS of data services.Aiming at this problem,this paper proposes a resource allocation strategy that guarantees different types of QOS requirements in the data collection system.It firstly establishes a data collection model for the power grid system and proposes an optimization problem of the maximum system utility.Afterwards,according to different characteristics of QOS and the best effort(BE)in the system,it transforms the original problem to a problem that maximizes the effective capacity of BE service under the constraint of satisfying the requirement of QOS.Finally,it presents a kind of iterative algorithm with low complexity to decompose the transformed problem into two sub problems for iteration solution.The simulation results show that the proposed strategy can enhance the effective capacity of the system while satisfying the requirement of QOS.