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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.
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on (Volume:2 )
Date of Conference: 25-29 Oct. 1993