| 摘要: | 研究期間：10301~10312;The objective of this project is to achieve the real time controls, simulations analyses and applications of the distributed generation systems (DGs) in microgrid. 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) and photovoltaic system) and the IPC. After the power information is collected and processed, the data will be sent to the DGs for the efficient power management of the microgrid system by the microgrid controller. Moreover, in this project, the LiFePO4 storage system will be developed, as the microgrid controller, and the TSK-type probabilistic fuzzy neural network-AMF (TSKPFNN-AMF) controller will be adopted to control the active power and the reactive power (P/Q mode) and the voltage and the frequency (V/f mode) of the system to improve the microgrid control performance. Furthermore, when the grid is disconnected and the DGs can’t provide enough power, the storage system will provide electrical power to the load. In addition, when the grid disconnects, 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 active islanding detection method and phase lock loop (PLL). Additionally, the energy management system of microgrid will be developed for the control of storage system, WTG and PV, and to verify the power management functions for the microgrid system. Accordingly, the developed microgrid control algorithms will be applied in the small microgrid system of the institute of Nuclear Energy Research(INER). Finally, in order to possessing the function of islanding and meeting the relevant interconnection standards, this project will verify the developed grid-connected DGs by using the offered test methodology in IEEE1547 and UL1741. |
