本論文提出一種用於管理全釩氧化還原液流電池功率和超級電容器功率之自適應模糊控制器，搭配所設計之最佳混合式儲能系統的容量，整合到太陽能場和風場之微電網，再併入到IEEE 14匯流排之多機電力系統。本論文主要研究內容包括：(1)設計用於混合式儲能系統的自適應模糊邏輯控制器、(2)設計最佳混合式儲能系統的容量。本論文使用統計機率方法決定混合式儲能系統之額定功率以及容量大小，並設計分配混合式儲能系統功率之自適應模糊邏輯控制器，以有效利用兩個儲能系統各自的特性，並且分別針對系統的不同研究案例進行了分析，探討該系統在所提出的自適應模糊邏輯控制器與所選定的最佳混合式儲能系統的容量條件下，對於平滑電網電力方面之成效。

This thesis proposes of an adaptive fuzzy controller for power management of a hybrid energy-storage system (HESS) consisting of a vanadium redox flow battery (VRFB) and a supercapacitor. The studied system is a hybrid wind-PV farm connected to the IEEE 14-bus multi-machine power system with the optimal designed capacity for the proposed HESS. The main research contents include: (1) the design of an adaptive fuzzy logic controller for the HESS, and (2) the design of the optimal capacity for the HESS. A probability approach is used to determine the rated power and capacity of the HESS, and an adaptive fuzzy logic controller for power distribution of the HESS is designed to effectivily utilize its individual characteristic. Different cases of the studied system are analyzed to investigate the effects of the selected capacity joined with the proposed adaptive fuzzy logic controller on smoothing grid power for the studied system.

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