考慮分散式微電網放射型配電饋線升級為閉環路架構之研究

The Upgrading of Distribution Feeders from Radial to Closed-loop Arrangement Considering Dispersed Micro-Grid

謝宗煌(Tsung-Huang Hsieh)

《中華科技大學學報》 54期 (2013/01) Pp. 83-102

摘要

為提高供電品質，配電系統升級是研究的重要議題之一。本文針對放射型配電改變為閉環路型，同時考慮分散式電源的影響。配電系統升級之目標函數包括降低輸電損失、改善可靠度指標（系統平均停電時間指標（System Average Interruption Duration Index, SIDI）與系統平均停電次數指標（System Average Interruption Frequency Index, SAIFI））以及減少短路容量、線路電流與匯流排電壓對於原有系統之衝擊，其衝擊程度假設為配電系統升級所需的投入成本指標。本文利用交談式模糊模長（Fuzzy-Norm）滿意度法，以求取多目標最佳解，並以改良式基因演算法，搜尋目標函數之新增連絡線最佳位置。以本文所提的方法進行案例模擬，由結果顯示改良式基因演算法可以得到穩定的收斂解，同時對於輸電損失、可靠度指標、成本指標的改善結果令人滿意。

關鍵字

分散式電源 ； 架構重組 ； 模糊模長 ； 改良式基因演算法

並列摘要

In order to upgrade the quality of the supply of electricity, the distribution feeders arrangement is one of the important issues. In this paper, the dispersed Micro-Grid (DMG) also be considered in upgrading the radial feeders into a closed-loop form. The multiple objectives are, not only to reduce power transmission loss, improve the reliability indices (such as the System Average Interruption Duration Index (SAIDI) and the System Average Interruption Frequency Index (SAIFI)) but also reduce the impact of the system's short-circuit capacity, line current and bus voltage, assuming that the impacts is a cost indices for the reconfigurations. The Interactive Fuzzy-GA Satisfying Method is adopted to find the optimum solution. The optimal connected positions of the new line are searched for the objective function by means of a refined genetic algorithm (RGA). An example is studied by using the proposed methodology. The results show that the proposed method is verified the RGA can render stable solutions and the transmission loss, reliability indices, and the cost indices are satisfactory.

並列關鍵字

Dispersed Micro-Grid ； Fuzzy-Norm ； Refined Genetic Algorithm