Uma nova abordagem para correção de erros grosseiros em estimação de estados utilizando algoritmo genético
Keywords: State Estimation, WLS, PMUs, Smart Meters
AbstractThis paper presents a new methodology for correcting gross errors in power distri- bution systems state estimation (SE). A SE algorithm is developed based on the Weighted Least Squares (WLS) using a hybrid approach in which non-synchronized measurements and PMUs (Phasor Measurement Units) are used together. At the end of the process, the Normalized Residuals (NRs) are calculated for each measurement and the existence of gross errors is detected based on statistical analysis of the NRs. Suspicious measurements are identified by the highest values of NRs. A calibration factor is associated with each suspected measurement to estimate the system state and correct the gross errors. In order to determine the exact values of the calibration factors, a new formulation of an optimization problem is proposed, being the solution provided by genetic algorithm. Simulations are conducted using the IEEE 33-bus test system to validate the proposed method proving its efficiency and robustness.