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Optimizations of Power Consumption and Supply in the Smart Grid: Analysis of the Impact of Data Communication Reliability

机译:智能电网中的功耗和供电优化:数据通信可靠性的影响分析

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摘要

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.
机译:数据通信基础设施将在智能电网中传输各种信息方面发挥重要作用。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电源优化的影响。为了优化功耗,我们考虑了可延迟负载调度方法,该方法通过使用局域马尔可夫决策过程(CMDP)模型进行建模,同时考虑到家庭局域网(HAN)和邻域局域网(NAN)网关的不可用性。为了优化电源,我们考虑了一种经济调度方法,该模型通过使用随机规划(SP)建模,同时考虑了准确的电力需求和供电信息的不可用性。分析了功耗和供电成本。此外,我们展示了如何通过在智能电网数据通信基础架构中部署组件冗余来降低这些成本。

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