... International Energy Conference, ENERGYCON 2016. 1 p. ISBN (print): 9 781 467 . DOI: 10.1109/ENERGYCON.2016.7514127 The paper develops a technique of available transfer capability forecasting in the controlled lines. The technique involves using dynamic state estimation, modified state estimation, and artificial neural networks. Dynamic state estimation yields the predicted values of the state variables. Modified state estimation calculates the total transfer capability on the basis of the forecast ...
Теги: electric power systems , forecasting , measurements , neural networks , available transfer capability , dynamic state estimation , intersystem , real time , state estimators , state variables , total transfer c... of Electric Power System Operation // IFAC-PapersOnLine. Vol.49. No.27. 2016. P.455-460. DOI: 10.1016/j.ifacol.2016.10.775 The paper develops a technique of total transfer capability forecasting in the controlled lines. The technique involves using dynamic state estimation, modified state estimation, and artificial neural networks. Dynamic state estimation yields the predicted values of the state variables. Modified state estimation calculates the total transfer capability on the basis of the forecast ...
Теги: electric lines , electric power systems , forecasting , measurements , neural networks , state estimation , dynamic state estimation , estimation program , on-line controls , operation constraint , optimal resu... technologies for the identification of full system states and dynamic behavior of system. The algorithms are validated with realistic models from the European and Russian power system. The results lead to a coordination platform which applies Distributed and Dynamic State Estimation in order to manage cross border flows. © 2013 IEEE. входит
Теги: dynamic state estimation , identify algorithms , large-scale power systems , monitoring and control , monitoring technologies , pmu , scada , wide area monitoring , algorithms , chemical sensors , electric powe
