Effects off Aggregation and the Measurement Node on Dynamic Load Modeling
Palabras clave:
Load modelling, Load Aggregation, Meta-Heuristic, Parameter Estimation (es)Descargas
This article analyzes the performance of dynamic load modeling using the measurement-based approach, considering the effects of load aggregation, where the measurements are not taken directly from the load bus, but from higher voltage level buses. The estimation of the parameters of the load model is considered as a problem of optimization of nonlinear programming, which is solved with a meta-heuristic technique called taboo search. The validation of the proposed problem is done by comparing two topological scenarios under different conditions of load aggregation in a 19-bus test system. The results show that the estimation of the load model in a meshed topology systems reduces its accuracy, compared to the case of radial topology, due to the fact that the new power flows presented make insufficient the measurements with which the model is intended to be estimated.
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Derechos de autor 2018 Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.