智能电网中电表数据传输的动态频谱接入:丢包分析

Qiumin Dong, D. Niyato, Ping Wang
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引用次数: 8

摘要

智能电网利用数据通信技术来收集和传递信息,以便进行调度和决策,从而更有效、更经济地利用电力。为了降低智能电网中数据通信的成本,本文假设使用认知无线电技术将智能电表的电表数据传输到数据聚合器单元(DAU)。智能电表部署在代表消费节点的房屋中,以测量和报告电力需求。此外,作为分布式能源(DERs)之一的社区可再生能源发电设施(CRPGF)的发电机也使用智能电表来收集和估计可再生能源的生产能力。但是,仪表数据的传输必须在限定的时间内(即截止日期)进行。利用吸收马尔可夫链分析了电表数据的平均丢包概率,研究了丢包对电表数据管理系统(MDMS)供电成本优化的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic spectrum access for meter data transmission in smart grid: Analysis of packet loss
The smart grid uses data communications techniques to gather and transfer information for scheduling and decision making so that the electric power can be used more efficiently and economically. To reduce the cost of data communications in smart grid, in this paper, we assume that cognitive radio technique is used to transmit the meter data from smart meters to the data aggregator unit (DAU). Smart meters are deployed in the houses representing consumption nodes to measure and report power demand. Also, smart meters are used by generators of the community renewable power generation facility (CRPGF) which is one of the distributed energy resources (DERs), to collect and estimate renewable power production capacity. However, the transmission of meter data must be performed within a limited period of time (i.e., deadline). By using absorbing Markov chain, we analyze the average packet loss probability of meter data, and study the impact of packet loss on the power supply cost optimization made by the meter data management system (MDMS).
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