- 學位論文
整合太陽能最大功率追蹤與蓄電池充電策略之研究
An Integrated Method for Photovoltaic Maximum Power Point Tracking and Battery Charge Strategy
摘要
太陽能最大功率追蹤與蓄電池充電策略為發展太陽能發電系統兩個重要的課題。由於切換式電源轉換器只有一組開關切換訊號，太陽能最大功率追蹤與蓄電池充電控制只能擇一使用，因此，必須設計一套策略使兩種控制模式能交替執行。本論文中藉由模糊控制器執行上述功能，論文中以太陽能電池輸出功率的斜率量與蓄電池充電電流作為模糊控制器的輸入，再藉由模糊規則庫設計整合策略。當太陽能電池輸出功率不足以供應蓄電池充電時，此時執行最大功率追蹤，以提高太陽能電池的使用效率；而當太陽能電池輸出功率足以供應蓄電池充電時，則改執行蓄電池充電控制，以保護蓄電池。由實驗結果顯示，本論文所提出的整合策略確實能具備太陽能最大功率追蹤與蓄電池充電控制之功能。
並列摘要
The photovoltaic maximum power point tracking (MPPT) and battery charge strategy are two important topics for development of solar power generation system. Due to the switching power converter only provides one switching channel, the strategies of MPPT and battery charge can only be performed individually. Therefore, it is necessary to design a strategy to perform MPPT and battery charge alternatively in a single simulation run. To achieve the purpose mentioned above, the fuzzy controller was employed in this thesis. In the thesis, both slope of power output of solar cell and charge current of battery are used as the inputs of fuzzy controller. The integrated strategy is then designed through the fuzzy rule base. When the solar cell can’t provide in sufficient power to the battery for charging, the MPPT is executed to increase the utilization of solar cell. On the other hand, when the solar cell can provide sufficient power to the battery, the charging control is performed to protest the battery. The experiment results have shown that the proposed integrated method is capable of executing MPPT and battery charging strategy alternatively in a program.