TY - JOUR N2 - An approach to power system state estimation using a particle filter has been proposed in the paper. Two problems have been taken into account during research, namely bad measurements data and a network structure modification with rapid changes of the state variables. For each case the modification of the algorithm has been proposed. It has also been observed that anti-zero bias modification has a very positive influence on the obtained results (few orders of magnitude, in comparison to the standard particle filter), and additional calculations are quite symbolic. In the second problem, used modification also improved estimation quality of the state variables. The obtained results have been compared to the extended Kalman filter method. L1 - http://www.czasopisma.pan.pl/Content/85076/PDF/06_paper.pdf L2 - http://www.czasopisma.pan.pl/Content/85076 PY - 2015 IS - No 2 June EP - 248 DO - 10.1515/aee-2015-0020 KW - bad data KW - branch disconnection measurement errors KW - particle filter KW - power system KW - state estimation A1 - Kozierski, Piotr A1 - Horla, Dariusz A1 - Lis, Marcin A1 - Owczarkowski, Adam PB - Polish Academy of Sciences VL - vol. 64 DA - 2015[2015.01.01 AD - 2015.12.31 AD] T1 - Particle filter in power system state estimation – bad measurement data and branch disconnection SP - 237 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/85076 T2 - Archives of Electrical Engineering ER -