Monitoring power quality events that occur in a power grid and determining their causes are important in terms of taking preventive actions. Power quality events are generally caused by structural changes in the network. Network loads are also affected by power quality events as a part of the network or they may cause power quality events themselves due to a sudden change in their structure. In this respect, when a power quality event occurs, the estimation of the behavior of the network loads contributes to the determination of the causes of the power quality events. In this study, a new method is developed to identify the parameters of a composite load model to estimate the response of network loads to certain power quality events. The method identifies model parameters using the voltage sag or swell data. By this model, it is possible to estimate the response of the loads and detect whether there is a change in the load. In this way, it becomes easier to understand whether the event is caused by the load or the network, which eventually helps us find the causes of power quality events. Simulation studies show that the load parameters identified by the method using a voltage sag are close to the actual load parameters, and the load behavior estimated by the load model in case of any power quality event is very close to the real load.
Cite this article as: M. Karadeniz, M. T. Aydemir & S. Ayasun. Online parameter identification of a simplified composite load model by voltage sag events.Turk J Electr Power Energy Syst, 2022; 2(1): 21-30.