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Direct cyber-power interdependencies-based reliability evaluation of smart grids including wind/solar/diesel distributed generations and plug-in hybrid electrical vehicles

机译:基于直接网络电源相互依赖的智能电网可靠性评估,包括风/太阳能/柴油分布式发电和插电式混合动力汽车

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摘要

Smart grid is a so-called "cyber-power system" because the cyber systems (control/monitoring/protec tion, and communication networks) are integrated to power systems in it. The less effort has been devoted in literature to reliability evaluation based on direct cyber-power Interdependencies (DCPIs) in widespread presence of distributed generations (DGs) and charging load of plug-in hybrid electric vehicles (PHEVs) as supply side uncertainties and demand side ones. The consideration of uncertainty regarding the PHEVs in addition to other uncertain aspects inside the DCPIs is one of the most important contributions of this paper. In addition, the sensitivity analysis of reliability versus the variation of failures in power and cyber elements is essentially analyzed. The introduced method is applied to two realistic case studies. The test results infer that the DCPI-based reliability evaluation of smart grids including DGs and PHEVs is achievable through use of the proposed method. Because of using the Monte Carlo simulation (MCS), it is possible to extend the proposed method by integration of future uncertain and stochastic subjects without any limit. Further, the test results illustrate that the communication failures as direct network-element interdependencies (DNEI) is more important than direct element-element interdependencies (DEEI). The numerical results also imply that the risk level due to DCPIs increases due to inappropriate cyber network configurations. (C) 2017 Elsevier Ltd. All rights reserved.
机译:智能电网是所谓的“网络电源系统”,因为网络系统(控制/监视/保护和通信网络)已集成到其中的电源系统。在文献中,较少的精力投入到了基于直接网络电力相互依赖关系(DCPI),分布式发电(DG)广泛存在以及插电式混合动力汽车(PHEV)的充电负荷作为供应方不确定性和需求方的可靠性评估中。那些。除了DCPI中的其他不确定性方面,还要考虑PHEV的不确定性,这是本文最重要的贡献之一。此外,还对可靠性与电源和网络元件故障变化的敏感性分析进行了分析。引入的方法应用于两个实际案例研究。测试结果表明,通过使用所提出的方法,可以实现基于DCPI的智能电网(包括DG和PHEV)的可靠性评估。由于使用了蒙特卡洛模拟(MCS),因此可以通过集成未来不确定性和随机性主题而不受限制地扩展所提出的方法。此外,测试结果表明,作为直接网络元素相互依赖关系(DNEI)的通信故障比直接元素相互依赖关系(DEEI)更重要。数值结果还暗示,由于不适当的网络网络配置,DCPI导致的风险水平增加。 (C)2017 Elsevier Ltd.保留所有权利。

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