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Cluster fractal model — A flexible network model for future power systems

机译:集群分形模型 - 未来电力系统的灵活网络模型

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A grid integration ratio of decentralized energy conversion systems (ECSs) in combination with renewable energy sources (RESs) has been recently increased in order to build up sustainable electrical power supply systems. Due to those changes, it can be predicted that the decentralized systems will change the conventional top-down power flow process to be the bidirectional process. Then the power flow can be reversed from distribution level to transmission level. To handle those significant changes, the cluster power systems approach has been developed and proposed to be the future of power systems. The strategy is to cluster the power systems in several areas, called cluster area. And the smart grid cluster controller (SGCC) unit is announced as a smart controller to operate the cluster based on each area. Presently, SGCC control functions have been published and proved that the SGCC can give an opportunity to establish control function down to local level. On the other hand, the cluster systems structure must be thoroughly considered to complete the clustering approach. Therefore, the cluster fractal model is proposed in this paper as a flexible and an adaptive model to organize the cluster network structure. According to fractal model, the internal structure of each cluster can be described by using the same network model. And the linkage to another cluster is allocated by the hierarchical system; superordinate, ordinate and sub-ordinate level. To this point of view, the fractal model has the flexibility to model the network of clustering power systems and ensures the bottom-up approach strategy. With the fractal model of cluster network structure and the SGCC, the cluster power systems philosophy will finally simplify the way for future smart gird.
机译:最近已经增加了与可再生能源(RESS)结合可再生能源(RESS)的分散能量转换系统(ECS)的电网集成率,以便建立可持续的电力供应系统。由于这些改变,可以预测分散的系统将传统的自上而下电量流程改变为双向过程。然后,电流可以从分配级别反转到传输电平。为了处理这些重大变化,已经开发了群集电力系统方法并提出成为电力系统的未来。该策略是将电力系统聚集在几个区域,称为集群区域。智能电网群集控制器(SGCC)单元被宣布为智能控制器,以基于每个区域操作集群。目前,SGCC控制功能已发布,并证明了SGCC可以有机会将控制功能降至本地。另一方面,必须彻底地考虑群集系统结构以完成聚类方法。因此,本文提出了集群分形模型作为组织群集网络结构的灵活性和自适应模型。根据分形模型,可以通过使用相同的网络模型来描述每个簇的内部结构。并由分层系统分配对另一个群集的联动;上级,纵坐标和子统计级别。为此,分形模型具有模拟聚类电力系统网络的灵活性,并确保自下而上的方法策略。随着集群网络结构的分形模型和SGCC,集群电力系统哲学将最终简化未来智能纹的方式。

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