本論文提出一種基於電池儲能系統的電壓回復控制，用於支撐電源供應與補償電壓。當市電受到干擾時，電壓回復是微電網電力控制的重要任務，其中一種干擾為輸電線路短路所引起，這可能會導致微電網電壓驟降，甚至是停電，為了解決這個問題，本論文提出遞迴式小波派翠模糊類神經網路控制器用於儲能系統的電壓回復控制，來加快響應速度並降低暫態衝擊。此外，為了檢驗太陽能光電系統是否符合低電壓穿越的要求，及探討電壓回復控制的性能，而以建在台灣澎湖群島的七美島微電網進行研究。微電網中的太陽能光電系統、儲能系統和風力發電機分別透過獨立的升壓變壓器連接到同一責任分界點；柴油發電機提供主要的電力來源並形成獨立的微電網。本論文使用 OPAL-RT 即時模擬器與兩個浮點數位訊號處理器實現硬體迴圈架構，以驗證所提出控制器的有效性。

This study presents a voltage restoration control (VRC) based on battery energy storage system (BESS), which can be used for both a supporting power source and voltage compensation. Voltage restoration is an important task for the power control of microgrid during utility disturbances. One of the disturbances is caused by short circuit on power line of the microgrid, this may lead to voltage sag and even blackout of the microgrid system. To tackle this problem, the recurrent wavelet petri fuzzy neural network (RWPFNN) controller is proposed for the VRC of BESS to provide fast control response to mitigate the transient impact. Moreover, to examine compliance with the requirements of low voltage ride through (LVRT) for the photovoltaic (PV) plant and investigate the performance of the proposed VRC, the microgrid built in Cimei Island in Penghu Archipelago, Taiwan, is investigated. Furthermore, in this microgrid system, the PV plant, the BESS and the wind turbine generator (WTG) are connected to the same point of common coupling (PCC) with separated step-up transformers. In addition, the diesel generators provide the main power sources and form the isolated microgrid system. Through the hardware in the loop (HIL) mechanism built with OPAL-RT real-time simulator and implemented using two floating-point digital signal processors (DSPs), the effectiveness of proposed controllers can be verified and demonstrated.

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