Title :
Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control
Author :
Hiyama, Takashi ; Kouzuma, Shinichi ; Imakubo, Tomofumi
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Kumamoto Univ., Japan
fDate :
6/1/1995 12:00:00 AM
Abstract :
This paper presents an application of a neural network for the identification of the optimal operating point of PV modules for the real time maximum power tracking control. The output power from the modules depends on the environmental factors such as insolation, cell temperature, and so on. Therefore, accurate identification of optimal operating point and real time continuous control are required to achieve the maximum output efficiency. The proposed neural network has a quite simple structure and provides a highly accurate identification of the optimal operating point and also a highly accurate estimation of the maximum power from the PV modules
Keywords :
neurocontrollers; optimal control; photovoltaic power systems; power station control; real-time systems; solar cell arrays; solar cells; solar power stations; PV modules; cell temperature; computer control; continuous control; environmental factors; insolation; maximum output efficiency; maximum power tracking control; neural network; optimal operating point; real time; Control systems; Environmental factors; Microcomputers; Neural networks; Optimal control; Photovoltaic systems; Real time systems; Silicon; Temperature dependence; Voltage;
Journal_Title :
Energy Conversion, IEEE Transactions on