ニューラルネットによる電力用太陽電池モジュールの最適動作点の実時間推定

抄録

This paper presents a real time identifying method of the optimal operating point of PV modules using a neural network. The maximum power from PV modules depends on the environmental factors such as insolation and cell temperature. Therefore, the PV systems need accurate on-line identification of their optimal operating points in order to yield maximum power supply from the systems. The measurements of the short-circuit current and the open-circuit voltage on the cells monitoring the PV modules are required for the real time estimation of optimal operating point. By using the measured data from August 1992 to July 1993, the efficiency of the proposed method has been evaluated with highly accurate estimation on four types of the poly-crystalline silicon PV modules.