DC Power Flow control in DC Networks through DC/DC Zero Sequence Blocking Transformer
摘要：World is moving to adopt the renewable energy sources to overcome the power issues with zero toxic emission. The key problem is to inject huge power to the grid, generating from renewable energy sources with traditional electrical equipment and grid infrastructure. Currently, work on DC networks is achieving great attention in distributed power generation system, which arise the problem related to the significance of DC power flow control in DC networks. Interline power flow controller（IPFC） are used to control of power flow in the multi-lines and parallel transmission lines. In this paper, a new topology for Interline DC Power Flow Controller（IDCPFC） based on the Zero Sequence Blocking Transformer（ZSBT） has been proposed and analyzed. In the proposed model, the buck converter works as a variable transformer and its current is regulated through the duty cycle of converter. In Comparison with pervious topologies the control algorithm is simple. To validate the topology, simulation results of proposed topology are investigated in this paper. Large-scale network has the characteristics of complex system, and its survivability is different from simple network. The current network survivability studies usually only aim for a specific network level or type, and seldom investigate survivability from a system perspective. In this paper, the concept of large-scale network survivability is defined from the perspective of complex system, the survivability association is analyzed based upon the correlation characteristics of complex system, and the structural model of large-scale network survivability association is established and its properties are analyzed. On the basis of survivability association properties, the survivability association function is defined based upon set pair analysis theory, which is utilized to characterize the survivability association degree among subsystems in large-scale network. Finally, the effectiveness of the model proposed in this paper is validated through case study.
2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference （IAEAC 2017）