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Reliability assessment of distribution system with renewable Distributed Generation

机译:可再生分布式发电的配电系统可靠性评估

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Now-a-days, in evolving power systems Distributed Generation (DG) is predictable to perform a vital role to serve energy to the power systems as they practice various types of resources and advancements. Mainly DG can be related with two technologies i.e., conventional and renewable energy technology. The fluctuations may occur more in the power produced from renewable resources and it is difficult to forecast. The evaluation of reliability indices can be done using Monte Carlo Simulation (MCS) or analytical method. In the case of DG, the analytical technique is very difficult to apply to the problem due to its static nature of problem formulation. So, MCS method is used to assess the renewable models in distribution system reliability. Here the DG's role is to boost the level of reliability by supplying the local load during interruptions. In this research work, the higher penetration of DG will be connected at each customer load points of the Roy Billinton Test System (RBTS) of bus 6. The foremost aim of this research work is to enumerate and check reliability indices for several system structures. The eight state Markov model is implemented in VC++ to estimate the failure rate and repair time for solar DGs. This model is used to determine the reliability indices in reliability model. For renewable models connected at customer end, a computer program is developed using MCS technique in VC++ to demonstrate the improvement in reliability indices using solar DGs.
机译:如今,在不断发展的电力系统中,可以预测分布式发电(DG)在实践各种类型的资源和进步时,在为电力系统提供能源方面将发挥至关重要的作用。 DG主要可以与两种技术相关,即常规技术和可再生能源技术。由可再生资源生产的电力可能会更多地出现波动,因此很难预测。可靠性指标的评估可以使用蒙特卡洛模拟(MCS)或分析方法来完成。在DG的情况下,由于问题制定的静态性质,分析技术很难应用于该问题。因此,MCS方法用于评估配电系统可靠性中的可再生模型。 DG的作用是通过在中断期间提供本地负载来提高可靠性水平。在这项研究工作中,DG的更高渗透率将连接到总线6的Roy Billinton测试系统(RBTS)的每个客户负载点。这项研究工作的首要目的是枚举和检查几种系统结构的可靠性指标。八态马尔可夫模型在VC ++中实现,以估计太阳能DG的故障率和修复时间。该模型用于确定可靠性模型中的可靠性指标。对于在客户端连接的可再生模型,使用VC ++中的MCS技术开发了计算机程序,以演示使用太阳能DG的可靠性指标的提高。

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