近年來，由於全球暖化加劇與能源危機議題日益嚴重，各國紛紛投入乾淨能源的發展，然而大量的再生能源併網將對電網造成相當的衝擊。再生能源發電與傳統發電機組不同，無法長時間且穩定地提供電力，其受環境因素影響劇烈，導致不穩定性上升、使電網韌性下降。
儲能系統剛好能解決上述問題，在發電有餘裕時，將能量透過功率調節系統儲存起來；在用電吃緊時，將其儲存之能量轉換提供電力。此時，電網控制器扮演著相當重要的角色，如何有效地利用儲能充放電快速的特性，設計出多元變化的控制策略，最後應用於電網中是本文研究一大重點。
本文旨在研究儲能系統整合應用，並嘗試設計出一套電網控制器分散式控制的架構，以應付未來當單一儲能系統容量越做越大時，能夠利用主控制器與子控制器相互分工、各司其職。不僅達到分散風險去控制PCS，增加系統的靈活性；還能延伸出不同的功能操作，提高系統的應用性。本研究透過兩個情境模擬的方式驗 證 分散式控制的優點，一為當有PCS異常或故障時，能夠即時讓剩餘的設備補足缺少的輸出；二為利用不同的PCS能夠達到在不影響系統總輸出的情況下，完成自動SOC補償之功能。
本研究最後有於案場中實際測試所設計出的儲能系統應用，結合排程與控制PCS達到削峰填谷之功能、防止逆送機制、調頻輔助服務能力測試等。另外，還設計出電網控制器的人機介面以及整合所有系統資訊之 能源管理系統網頁。

As Global warming and energy shortage issues are more and more serious in recent years, each country started to develop clean energy source. However, when lots of renewable energy resource connected to the grid, this will decrease the reliability and stability of the power supply owing to intermittent of these kind of energy. This issue could overcome by energy storage systems. It will store energy when power supply more than demand, and release energy to grid when needed. The grid controller is the important part of energy storage system, use to determine the strategy how to control the power conversion system to convert electrical energy to chemical energy. Because the feature between PCS made by different manufactures are different, control strategies will various.
This study focus on the application of PCS in power grid and novel distributed grid control structure. As the ESS may expand in the future, distributed grid controller could operate like a module that minimizing the influence from existing systems. This structure not only can spread risk when control PCS but also can fulfill more flexible strategies. This study research the response of PCS under two conditions. The first is whether other PCSs will sharing burden when one PCS shut down. The second condition is verifying whether difference PCS will compensate the SOC automatically when total power response still not change.
The research of this study had been tested in ESS. The PCS control strategies mentioned above combine with scheduling, peak load shifting, Anti-supply power to grid, and AFC. Also develop the HMI interface of grid controller and EMS to integrate the information.

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