@article{Pholpaisansak_Thaksana_Kongjeen_Bhumkittipich_2020, title={Analysis of Observability of Power System State Estimation using Genetic Algorithm Technique}, volume={18}, url={https://ph01.tci-thaijo.org/index.php/jermutt/article/view/241887}, abstractNote={<p>This paper presents an analysis of observability in state estimation of instruments for electrical systems using genetic algorithm technique. This proposed algorithm can be solved for preventing the instruments from the measurement data missing in electrical power systems, and for installing the instruments in all bus standards. The goal of this research focuses on the minimum number of instruments and their most appropriate locations for electrical systems. Besides the state estimation of instruments by using genetic algorithm technique to find the minimum number of instruments and their most appropriate locations, the analysis of observability can be used to find the variables affecting the instrumentation equations. This is experimented on the basis of the IEEE 14 bus standard instead of the electrical system. The simulation results found that the instruments in electrical systems had a total of 122 sets, but after installing the instruments using a genetic algorithm technique, the number of instruments decreased by 56 sets. Also, the technique was used with the AMR instruments in electrical systems with a total of 42 set, the instruments decreased by 13 sets. The decreased number of instruments could function efficiently.</p>}, number={1}, journal={Journal of Engineering, RMUTT}, author={Pholpaisansak, Sasiporn and Thaksana, Radomboon and Kongjeen, Yuttana and Bhumkittipich, Krischonme}, year={2020}, month={Jun.}, pages={91–100} }