本計畫預計將完成5kW直流/交流併網型轉換器之設計與製作，其中閉迴路控制器將採用機率模糊類神經網路(Probabilistic Fuzzy Neural Network, PFNN)控制器並以DSP TMS320F28035進行實現。為使併網型轉換器能順利與市電併聯，將設計同步併網控制法與主動式孤島偵測法。另一方面，為達成有效的電能管理分配以及提升分散式發電系統使用效率，將設計一以工業級電腦(Industrial PC, IPC)為基礎之微電網控制器，並以CAN Bus作為分散式發電系統內部和IPC間之資料傳輸。待電力資訊收集完畢後使用微電網控制器之IEC61850通訊協定將微電網控制器之資訊傳送至市電端之區域調度中心，以利區域調度中心對各分散式發電系統作有效的能源分配與管理；另外並藉由靜態開關(Static-Switch, SS)，使併聯於市電之微電網系統，於市電故障時，能自主無縫切離形成孤島運轉，並當市電恢復後，能恢復與市電併聯。本計畫最後將藉由IEEE1547及UL1741所提供之測試方式以測試所發展之併網型轉換器，使其具備孤島運轉與優越過度性之相關功能，並能符合相關之併聯標準與規範。 The objective of this project is to accomplish the design and manufacture of 5kW DC/AC grid-connected converter, in which the probabilistic fuzzy neural network (PFNN) controller will be adopted for the closed-loop controller and be implemented by means of DSP TMS320F28035. In order to connect the grid-connected converter with the grid smoothly, the methods of synchronous grid-connected control and active islanding detection algorithm will also be designed. Moreover, to improve the efficiency of power management for the distributed generation (DG) system, a industrial PC (IPC)-based microgrid controller will be designed and the CAN Bus will be adopted for internal data transmission between the DG system and the IPC. After the power information is collected completely, the data will be sent to the local dispatched control center (LDCC) of the power grid utilizing IEC61850 protocol module installed in the microgrid controller for the efficient power management of the DG system. In addition, when the grid faults, the microgrid system can seamlessly disconnect from the power grid, and when the electricity is restored, the microgrid system can reconnect to power grid by the static switch (Static-Switch, SS). Finally, in order to possessing the functions of islanding and ride-through and meeting the relevant interconnection standards, this project will verify the developed grid-connected converter by using the offered test methodology in IEEE1547 and UL1741. 研究期間：10001 ~ 10012
