Development of measurement-based load models for the dynamic simulation of distribution grids

The advent of new types of loads, such as power electronics and the increased penetration of low-inertia motors in the existing distribution grids alter the dynamic behavior of conventional power systems. Therefore, more accurate dynamic, aggregate, load models are required for the rigorous assessment of the stability limits of modern distribution networks. In this paper, a measurement-based, input/output, aggregate load model is proposed, suitable for dynamic simulations of distribution grids. The new model can simulate complex load dynamics by employing variable-order transfer functions. The minimum required model order is automatically determined through an iterative procedure. The applicability and accuracy of the proposed model are thoroughly evaluated under distinct loading conditions and network topologies using measurements acquired from a laboratory-scale test setup. Furthermore, the performance of the proposed model is compared against other conventional load models, using the mean absolute percentage error.

[1]  Jovica V. Milanovic,et al.  Dynamic load modelling based on measurements in medium voltage distribution network , 2008 .

[2]  B. Gustavsen,et al.  Improving the pole relocating properties of vector fitting , 2006, 2006 IEEE Power Engineering Society General Meeting.

[3]  D. Hill,et al.  Dynamic analysis of voltage collapse in power systems , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[4]  Jovica V. Milanovic,et al.  International Industry Practice on Power System Load Modeling , 2013, IEEE Transactions on Power Systems.

[5]  Delberis Lima,et al.  Measurement-based load modeling using transfer functions for dynamic simulations , 2014, 2014 IEEE PES T&D Conference and Exposition.

[6]  Eleftherios O. Kontis,et al.  Development of measurement-based generic load models for dynamic simulations , 2015, 2015 IEEE Eindhoven PowerTech.

[7]  D. J. Trudnowski,et al.  Overview of algorithms for estimating swing modes from measured responses , 2009, 2009 IEEE Power & Energy Society General Meeting.

[8]  P. Regulski,et al.  Estimation of Composite Load Model Parameters Using an Improved Particle Swarm Optimization Method , 2015, IEEE Transactions on Power Delivery.

[9]  A. Semlyen,et al.  Rational approximation of frequency domain responses by vector fitting , 1999 .

[10]  D. Hill,et al.  Modelling and identification of nonlinear dynamic loads in power systems , 1994 .

[11]  D.T. Westwick,et al.  A Multistage Algorithm for Identification of Nonlinear Aggregate Power System Loads , 2007, IEEE Transactions on Power Systems.

[12]  Byoung-Kon Choi,et al.  Measurement-based dynamic load models: derivation, comparison, and validation , 2006, IEEE Transactions on Power Systems.

[13]  Eleftherios O. Kontis,et al.  Measurement-Based Hybrid Approach for Ringdown Analysis of Power Systems , 2016, IEEE Transactions on Power Systems.

[14]  C.A. Canizares,et al.  On the parameter estimation and modeling of aggregate power system loads , 2004, IEEE Transactions on Power Systems.

[15]  Theofilos A. Papadopoulos,et al.  Derivation and evaluation of generic measurement-based dynamic load models , 2016 .

[16]  Eleftherios O. Kontis,et al.  Ringdown analysis of power systems using vector fitting , 2016 .

[17]  Eleftherios O. Kontis,et al.  Measurement-Based Dynamic Load Modeling Using the Vector Fitting Technique , 2018, IEEE Transactions on Power Systems.

[18]  V. Ajjarapu,et al.  A Novel Parameter Identification Approach via Hybrid Learning for Aggregate Load Modeling , 2009, IEEE Transactions on Power Systems.

[19]  Kumars Rouzbehi,et al.  Nonlinear Power System Load Identification Using Local Model Networks , 2013, IEEE Transactions on Power Systems.

[20]  Eleftherios O. Kontis,et al.  System Identification Techniques for Power Systems Analysis Using Distorted Data , 2014 .