Ramtin Khalili

Northeastern University | NEU · Department of Electrical and Computer Engineering

Power grid model parameters may contain errors due to various reasons. Detecting and correcting parameter errors typically requires significant computational effort due to the size and complexity of the parameter database. While the normalized Lagrange multiplier (NLM) method can effectively detect, identify and correct parameter errors, its comput...

This paper is concerned about detection and identification of errors in the parameters of three-phase transposed as well as untransposed transmission line (TL) models used by various network applications. Such detailed models are increasingly needed in particular by power system applications where loads may not be balanced and/or TLs may not be sym...

In this paper, an efficient three‐stage algorithm for identifying the turbine‐governor (TG) and synchronous generator (SG) parameters is proposed. Instead of considering approximate models, precise models of the TG and SG are used. In the proposed approach, d‐q axes parameters of SG, mechanical parameters of SG, and TG model parameters are estimate...

Modal decomposition of measurement equations has already been shown to simplify the formulation and resulting computational complexity of three-phase state estimation of systems where all the transmission lines are three-phase and fully transposed. When there are non-transposed and/or mixed-phase lines, modal decomposition can no longer fully decou...

Due to the significance of power systems dynamics studies, obtaining an accurate and consistent dynamical model for steam turbine-governor is a must. In this paper, dynamical modeling and parameter estimation of an industrial steam turbine governor are taken into consideration. The nominal output power of the turbine is 368 MW and dynamical tests a...

In this paper, mathematical modeling and identification of an industrial, 200 MW steam turbine and generator are taken into consideration based on operational data. This data is acquired by the measuring devices and data acquisition systems from precisely designed tests. Due to the significance of power systems dynamic studies, steam turbine-genera...

In this paper, mathematical modeling and identification of an industrial, 200 MW steam turbine and generator are taken into consideration based on operational data. This data is acquired by the measuring devices and data acquisition systems from precisely designed tests. Due to the significance of power systems dynamic studies, steam turbine-genera...