Optimizations of Power Consumption and Supply in the Smart Grid: Analysis of the Impact of Data Communication Reliability
Optimizations of Power Consumption and Supply in the Smart Grid: Analysis of the Impact of Data Communication Reliability
复制标题
DOI：
10.1109/tsg.2012.2224677
复制
发表时间：
2013-02
影响因子：
9.6
通讯作者：
D. Niyato;Qiumin Dong;Ping Wang;E. Hossain
中科院分区：
文献类型：
--
作者：
D. Niyato;Qiumin Dong;Ping Wang;E. Hossain
数据通信基础设施将在智能电网的各种信息传输中发挥重要作用。在本文中，我们考虑了智能电网数据通信基础设施的可靠性及其对功耗和供电优化的影响。为了优化功耗，我们考虑了一种可推迟的负载调度方法，该方法通过使用约束马尔可夫决策过程（CMDP）模型建模，考虑到家庭区域网络（HAN）和邻居区域网络（NAN）网关的不可用性。为了优化电力供应，我们考虑了一种经济调度方法，该方法采用随机规划（SP）建模，考虑到准确的电力需求和供应信息的不可用性。分析了电力消耗和供电成本。此外，我们展示了如何通过在智能电网数据通信基础设施中部署组件冗余来降低这些成本。
Data communications infrastructure will play an important role to transfer various information in smart grid. In this paper, we consider the reliability of the smart grid data communications infrastructure and its impact on the power consumption and supply optimizations. For optimizing the power consumption, we consider a deferrable load scheduling method which is modeled by using a constrained Markov decision process (CMDP) model, taking into account the unavailability of the home area network (HAN) and neighborhood area network (NAN) gateways. For optimizing the power supply, we consider an economic dispatch method which is modeled by using stochastic programming (SP), taking into account the unavailability of the exact power demand and supply information. The power consumption and supply costs are analyzed. In addition, we show how these costs can be reduced through the deployment of component redundancy in the smart grid data communications infrastructure.