Measurement-based parameter estimation and analysis of power system

Abstract

Currently, power systems are modeled using the offline models of its components. The components’ models are derived during their design. Such an offline approach of modeling can result in an erroneous model of a power system since it neglects any changes in the parameters of the components. The parameters of the components vary with the loading and atmospheric conditions. These variations can be taken into account if, instead of the offline models of the components, real-time measurements are used to derive a model of power system. Various such measurement-based approaches have been used in the current study to estimate the bus admittance matrix and the bus impedance matrix of a power system. From the estimated bus admittance matrix, the parameters and the topology of the power system are derived. From the parameters, the condition of the components can be assessed. Moreover, a novel decentralized and distributed algorithm is used for the estimation of the bus impedance matrix. After the algorithm converges, the respective columns of the bus impedance matrix are available which can be used to update the settings of the relays. The relays set in such a way will better protect the power system