| 基于数据通信可靠性的单负载决策电耗优化研究 |
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| 引用本文： | 彭江琴,葛剑飞,刘南杰,仲浩.基于数据通信可靠性的单负载决策电耗优化研究[J].南京邮电大学学报(自然科学版),2014(3):42-46. |
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| 作者姓名： | 彭江琴 葛剑飞 刘南杰 仲浩 |
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| 作者单位： | [1]南京邮电大学通信与信息工程学院,江苏南京210003 [2]南京邮电大学网络基因工程研究所,江苏南京210003 [3]国网上海市电力公司信息通信公司,上海200122 [4]江苏有线数据网络有限公司,江苏南京210003 |
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| 基金项目： | 国家重点基础研究发展计划（973计划）（2013CB329005）、国家自然科学基金（61101105,61201162）、国家电网公司科技项目资助基金（52090F135015）和江苏省基础研究计划重点研究专项基金（BK2011027）资助项目 |
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| 摘 要： | 提出了基于数据通信可靠性的单负载决策电耗优化研究方法.该方法通过家庭区域网（HAN）和邻域网（NAN）网关可靠性分析,建立约束马尔可夫决策过程（CMDP）模型,以单负载作为决策者进行缓征负载调度优化,实现电耗成本最小化.仿真结果表明,提出的电耗优化研究方法有效地降低了电耗成本.此外,通过智能电网数据通信设施中组件的冗余部署可以进一步降低电耗成本.
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| 关 键 词： | 可靠性分析 缓征负载 电力消耗 单负载决策 |
Data Communication Reliability-Based Power Consumption Optimization with Single Load Decision |
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| PENG Jiang-qin,GE Jian-fei,LIU Nan-jie,ZHONG Hao.Data Communication Reliability-Based Power Consumption Optimization with Single Load Decision[J].Journal of Nanjing University of Posts and Telecommunications,2014(3):42-46. |
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| Authors: | PENG Jiang-qin GE Jian-fei LIU Nan-jie ZHONG Hao |
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| Institution: | 1.College of Telecommunications ＆ Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China ;Network Gene Engineering Research Institute, Nanjing University of Posts and Telecommunications, Nanjing 210003, China; 2.Information ＆ Telecommunication Co., State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China; 3.College of Telecommunications ＆ Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China ;Jiangsu Cable Data Network Ltd,Nanjing 210003, China;) |
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| Abstract: | A power consumption optimization scheme with the single load decision according to the data communication reliability is proposed.In this scheme,a constrained Markov decision process （CMDP） model is constructed by analyzing the reliability of gateways for the home area network （HAN） and the neighborhood area network （NAN）.The optimization of deferred load scheduling is conducted on the decision-maker of the single load to minimize the power consumption.Simulation results show that the proposed optimization method for power consumption can effectively decrease the cost.In addition,the cost can be further reduced by the redundant deployment of components in the communication infrastructure of the smart grid. |
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| Keywords: | reliability analysis deferrable load scheduling power consumption single load decision |
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