Title :
Application of a genetic algorithm to meter allocation in electric power systems
Author :
Mori, Hiroyuki ; Iida, Seiji
Author_Institution :
Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
Abstract :
This paper presents a genetic algorithm (GA)-based approach to meter allocation in electric power systems. State estimation plays a key role in power system security control. The accuracy of the state estimation is highly influenced by meter allocation. In this paper, meter allocation of redundant measurements are examined to improve the accuracy. The proposed method has been successfully applied to the IEEE 14-node system that has about 1.313×1011 combinations of redundant measurements.
Keywords :
genetic algorithms; neural nets; power system control; power system measurement; power system security; power system state estimation; redundancy; electric power systems; genetic algorithm; meter allocation; power system security control; redundant measurements; state estimation; Covariance matrix; Equations; Flowcharts; Genetic algorithms; Noise measurement; Power system control; Power system measurements; Power system security; State estimation; Voltage;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.716910
