臺灣博碩士論文加值系統

根據目前能源發展，再生能源在電網中的占比逐年增加，容易受到天氣變化的特性，造成發電量變動，導致系統不穩定，因此，具有可控性及可儲存的電池儲能系統，將多餘的電能吸收與釋放電能供應於電網，電池儲能系統將成為未來再生能源發展關鍵之一。
本論文提出以磷酸鐵鋰電池作為儲能系統的能量儲存單元，參與負載管理控制，基於維護成本、更換成本、建置成本及參與負載管理控制控制期間的電能損失費用，使用灰狼演算法求解電池儲能系統的最佳容量，且依照負載曲線估測負載管理控制，計算對於設置電池儲能系統的投資報酬率，最後對於尖離峰電價差、電池裝設成本、轉換器裝設成本、放電深度及運行年限進行靈敏度分析。

According to the current energy development, the proportion of renewable energy in the power grid is increasing year by year. However, due to the inherent characteristics of being easily affected by weather changes, renewable energy generation is subject to fluctuation, leading to system instability. Therefore, battery energy storage systems with controllability and storability are crucial for the future development of renewable energy. These systems can absorb and release excess electricity to supply the grid, and can also balance peak loads and provide stable power in emergency situations.
This thesis proposes the use of a lithium iron phosphate battery, participating in load management control. Based on maintenance, replacement, installation, and the cost of energy loss during the period of load management control, the grey wolf optimization is employed to determine the optimal capacity of the battery energy storage system. Load management control is estimated according to the load curve, and the return on investment for setting up battery energy storage system is calculated. Finally, sensitivity analysis is conducted on peak and off-peak power price difference electricity pricing, battery device cost, converter installation cost, depth of discharge, and battery energy storage system operating years.

摘 要 I
英文摘要 II
誌 謝 III
目 錄 IV
圖目錄 VI
表目錄 VII
第一章 緒論 1
1-1研究背景 1
1-2 相關文獻回顧 2
1-3 研究方法與步驟 3
1-4 論文各章重點簡述 4
第二章 模擬程式及儲能系統概述 5
2-1前言 5
2-2 DIgSILENT®PowerFactory概述 5
2-3儲能系統概述 6
2-4最佳化方法概述 19
2-5本章結論 24
第三章 儲能系統容量規劃 25
3-1前言 25
3-2電池壽命估測 25
3-3目標函數 26
3-4最佳容量規劃方法 33
第四章模擬測試與分析 35
4.1前言 35
4-2研究流程 35
4-2模擬結果 36
第五章 結論與建議 52
5-1研究結論 52
5-2 未來研究方向 53
參考文獻 54

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