Hindia Mohammad Nour, Reza Ahmed Wasif, Noordin Kamarul Ariffin, Chayon Muhammad Hasibur Rashid
Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.
PLoS One. 2015 Apr 1;10(4):e0121901. doi: 10.1371/journal.pone.0121901. eCollection 2015.
Smart grid (SG) application is being used nowadays to meet the demand of increasing power consumption. SG application is considered as a perfect solution for combining renewable energy resources and electrical grid by means of creating a bidirectional communication channel between the two systems. In this paper, three SG applications applicable to renewable energy system, namely, distribution automation (DA), distributed energy system-storage (DER) and electrical vehicle (EV), are investigated in order to study their suitability in Long Term Evolution (LTE) network. To compensate the weakness in the existing scheduling algorithms, a novel bandwidth estimation and allocation technique and a new scheduling algorithm are proposed. The technique allocates available network resources based on application's priority, whereas the algorithm makes scheduling decision based on dynamic weighting factors of multi-criteria to satisfy the demands (delay, past average throughput and instantaneous transmission rate) of quality of service. Finally, the simulation results demonstrate that the proposed mechanism achieves higher throughput, lower delay and lower packet loss rate for DA and DER as well as provide a degree of service for EV. In terms of fairness, the proposed algorithm shows 3%, 7 % and 9% better performance compared to exponential rule (EXP-Rule), modified-largest weighted delay first (M-LWDF) and exponential/PF (EXP/PF), respectively.
如今，智能电网（SG）应用正被用于满足不断增长的电力消耗需求。智能电网应用被视为通过在两个系统之间创建双向通信通道来整合可再生能源资源和电网的完美解决方案。本文研究了适用于可再生能源系统的三种智能电网应用，即配电自动化（DA）、分布式能源系统存储（DER）和电动汽车（EV），以研究它们在长期演进（LTE）网络中的适用性。为弥补现有调度算法的不足，提出了一种新颖的带宽估计和分配技术以及一种新的调度算法。该技术根据应用的优先级分配可用网络资源，而该算法基于多准则的动态加权因子做出调度决策，以满足服务质量的需求（延迟、过去平均吞吐量和瞬时传输速率）。最后，仿真结果表明，所提出的机制为配电自动化和分布式能源系统存储实现了更高的吞吐量、更低的延迟和更低的丢包率，同时为电动汽车提供了一定程度的服务。在公平性方面，与指数规则（EXP-Rule）、改进的最大加权延迟优先（M-LWDF）和指数/比例公平（EXP/PF）相比，所提出的算法分别表现出3%、7%和9%的更好性能。
