Title :
application of neural network to operation of power generating units
Author :
Nishimura, Kazuo ; Iida, Haruhiko ; Hayashi, Hideki ; Asano, Toshiaki
Author_Institution :
Toshiba Corp., Kanagawa, Japan
Abstract :
The authors propose a new method based on neural network technology to optimize the operation of generating units. The iterative use of a neural network permits less accuracy of learning and makes the method applicable to larger power systems. Simulations of transmission loss reduction and steady-state stability improvement have demonstrated the effectiveness of the proposed method.
Keywords :
electric power generation; losses; neural nets; power station computer control; power system stability; neural network; power generating units operation; steady-state stability; transmission loss reduction; Computer networks; Iterative methods; Neural networks; Optimization methods; Power generation; Power system modeling; Power system simulation; Power system stability; Propagation losses; Steady-state;
Conference_Titel :
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location :
Yokohama, Japan
Print_ISBN :
0-7803-1217-1
DOI :
10.1109/ANN.1993.264341
