研究論文
自立型太陽水素エネルギーシステムの構成と制御
2002 年 27 巻 1 号 p. 17-22
詳細
2002 年 27 巻 1 号 p. 17-22
Photovoltaic cell and fuel cell are now taking their place as main energy technology in the 21st century, and have led the idea of solar hydrogen energy system to practicality. Work on the engineering design and operation of photovoltaic hydrogen stand-alone system (PVHS) has a specific problem caused by unpredictable nature in insolation and electric power demand. To ensure rational cost and robust operation, each component of PVHS has to be minimized as possible, and optimally operated with the control so as to supply the total electric power matching to the demand. The paper first outlines an optimization approach to determine the power capacity of each component of PVHS using linear programming. It then proposes a concept of system operation with the learning control implemented by neurocomputing algorithm. The performance of this control program is tested with computer simulation on a conceptual model of PVHS for residential use.
