本計畫主要目標為利用智慧型控制器來發展微電網系統併網時三相不平衡負載之電流補償控制法則，以提昇微電網之電力品質。本計畫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RS485作為各式分散式電源，如風力發電機(Wind Turbine Generator, WTG)、磷酸鋰鐵電池儲能(Storage)及微渦輪發電機(Micro Turbine Generator, MTG)與IPC間之資料傳輸。待電力資訊收集與處理完畢後，微電網控制器會將資訊傳送至各分散式電源作有效的能源分配與管理。此外，為達成智慧型控制改善三相不平衡負載之電力品質調控之目的與提升分散式發電系統使用效率，將設計一三相四臂直/交流反流器與三相不平衡負載。本計畫將以PSIM模擬軟體驗證三相四臂直/交流反流器在併網時三相不平衡負載之電流補償控制法則，並採用機率模糊類神經網路(Probabilistic Fuzzy Neural Network, PFNN)控制器來改善三相不平衡電流之補償響應。最後，本計畫將以德州儀器所發展之數位信號處理器 TMS320F28335實現三相不平衡負載之電流補償控制法則，以提昇與改善微電網系統併網時之電力品質。 ;The objective of this project is to investigate a current compensation algorithm using intelligent control algorithm to improve the power quality of a grid-connected microgrid system with three-phase unbalance load. An industrial PC (IPC)-based microgrid controller will be designed and RS485 will be adopted for internal data transmission between the DGs, e.g. wind turbine generator (WTG), LiFePO4 storage system, micro turbine generation (MTG) and the IPC. After the electric power information is collected and processed, the data will be sent to the DGs for the efficient electric power management of the microgrid system by the microgrid controller. Moreover, a three-phase four-wire DC/AC inverter using intelligent control and a three-phase unbalanced load are designed to improve the power quality and the efficiency of the distributed generation systems (DGs). The effectiveness of the current compensation algorithm, which is implemented in the three-phase four-wire DC/AC inverter with three-phase unbalance load, is verified via PSIM software. Furthermore, a probabilistic fuzzy neural network (PFNN) controller will be adopted to improve the response of the current compensation. Finally, the current compensation algorithm will be implemented by digital signal processor TI TMS320F28335 to improve the power quality of the grid-connected microgrid system with three-phase unbalance load. ;研究期間：10502 ~ 10511
