The performance of the state estimation (SE) depends on the accuracy of the received measured data, as well as the parameter data of the power system. In this paper, a new algorithm is proposed for the simultaneous identification and correction of measurement and branch parameter errors (series and shunt admittances) in the power system SE problem. The proposed method uses Lagrange multipliers ...

Knowledge of the parameter values of the dynamic generator models is of paramount importance for creating accurate models for power system dynamics studies. Traditionally, power systems consists of a relatively limited numbers of large power stations and the values of generator parameters were provided by manufacturers and validated by utilities. Recently however, with the increasing penetratio...

abstract the aim of this study was to investigate the relationship between some anthropometric parameters and physiological tests (physical fitness) in amateur soccer players. the present study was descriptive-comparative carried out as a field study. the statistical population consisted of male adolescent soccer players (9-13 years old) who volunteered to participate in leisure time programs o...

The methods of building a model like Markov chain Monte-Carlo (MCMC) and sequential model-based global optimization (SMBO) in power distribution network (PDN) have achieved parameter identification successfully without extra measurement devices. However, the data processing focused on feeder is not concerned yet. In this study, authors present dynamic prepossessing method for PDN to obtain more...

With the increasing penetration of distributed energy resources, optimization algorithms have attracted significant attention for power systems applications due to their potential superior scalability, privacy, and robustness a single point-of-failure. The Alternating Direction Method Multipliers (ADMM) is popular algorithm; however, its convergence performance highly dependent on selection pen...