智慧型能源管理系統之研製

本論文使用區間第二型模糊邏輯設計能源管理系統，並應用於智慧型機器人電能系統中。該電能系統包含了再生能源發電部、儲能部、負載部及能源管理部。再生能源發電部使用太陽能光電板並配合串聯式升降壓轉換器來進行最大功率點追蹤，以增加太陽能光電板發電效率。儲能部則是使用雙向充放電器，來對鋰鐵電池進行充放電。負載部為智慧型機器人運行時所需之功率。能源管理部則使用所提出之智慧型能源管理系統以控管整體電能系統之能量。而智慧型能源管理系統所採用的區間第二型模糊邏輯，除了能藉由人工智慧的決策來達到機器人能量平衡及電池保護之外，亦能在歸屬函數的設計上克服輸入參數的誤差和模型的不確定性，使其達到比第一型模糊邏輯更好的表現性能。論文的最後，將經由實驗的結果來應證所提出的智慧型能源管理系統之可行性。

關鍵字

最大功率追蹤法；區間第二型模糊邏輯；能源管理系統；鋰鐵電池

並列摘要

This thesis employs the interval type-2 (IT2) fuzzy logic for designing an intelligent energy management system (EMS) and applies it to a power system of an intelligent robot. The power system includes a renewable energy part, an energy storage part, a load part and an energy management part. The renewable energy part uses the photovoltaic panel and coordinates the series-combined buck-boost converter for executing the maximum power point tracking (MPPT). The energy storage part applies the bi-directional converter to charge and discharge the Li-Fe battery. The load part represents the power when intelligent robot is operating. The energy management part employs the proposed intelligent EMS to control the energy of the power system. The IT2 fuzzy logic employed by the intelligent EMS can achieve the energy balance and battery protection by artificial intelligent. Besides, IT2 fuzzy logic can overcome the input parameter errors and model uncertainties and cause it obtain better performance compared to type-1 fuzzy logic. Finally, the feasibility of the intelligent EMS will be proved via the experimental results.

並列關鍵字

Maximum power point tracking (MPPT) ； Interval type-2 (IT2) Fuzzy ； Energy management system (EMS) ； Li-Fe Battery

參考文獻

[2] R. A. Lindemann, D. B. Bickler, B. D. Harrington, and G. M. Ortiz, “Mars exploration rover mobility development,” IEEE Robot. Autom. Mag., vol. 13, no. 2, pp. 19-26, June 2006.

[3] M. Bajracharya, M. W. Maimone, and D. Helmick, “Autonomy for Mars rover: past, present, and future,” IEEE Trans. Comput., vol. 41, no. 12, pp. 44-50, Dec. 2008.

[5] M. A. G. de Brito, L. Galotto, L. P. Sampaio, and G. de Azevedo e Melo, “Evalution of the main MPPT techniques for photovoltaic applications,” IEEE Trans. Ind. Electron., vol. 60, no. 3, pp. 1156-1167, Mar. 2013.

[6] F. Harashima, H. Inaba, and N. Takashima, “Microprocessor-controlled SIT inverter for solar energy system,” IEEE Trans. Ind. Electron., vol. IE-34, no. 1, pp. 50-55, Feb. 1987.

[8] N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Optimization of perturb and observe maximum power point tracking method,” IEEE Trans. Power Electron., vol. 20, no. 4, pp. 963-973, Jul. 2005.

國際替代計量

智慧型能源管理系統之研製

未授權

主題瀏覽