A generalized synthesis load model considering network parameters and all-vanadium redox flow battery

The simulation precision of the classic load model (CLM) is affected by the increasing proportion of installed energy storage capacity in the grid. This paper studies the all-vanadium redox flow battery (VRB) and proposes an equivalent model based on the measurement-based load modeling method, which can simulate the maximum output of the VRB energy storage system and fit the external characteristic of the system precisely in the occurrence of large disturbance and continuous small disturbance. The equivalent model is connected to CLM to form a generalized synthesis load model (GSLM), which considers the parameters of distribution network and reactive power compensation. Compared with CLM, GSLM has better structures and can describe the load characteristics of distribution network with energy storage system more precisely. Simulation results validate the effectiveness and good parameter stability of GSLM, and show that the higher the proportion of energy storage in the grid is the better description ability GSLM has.

[1]  Curt Elmore,et al.  Performance prediction of a vanadium redox battery for use in portable, scalable microgrids , 2013, PES 2013.

[2]  Akshay Kumar Rathore,et al.  Non-isolated Bidirectional Soft-Switching Current-Fed LCL Resonant DC/DC Converter to Interface Energy Storage in DC Microgrid , 2016, IEEE Transactions on Industry Applications.

[3]  Vitor Hugo Ferreira,et al.  The Induction Motor Parameter Estimation Using Genetic Algorithm , 2013, IEEE Latin America Transactions.

[4]  R. Teodorescu,et al.  Stand-alone wind system with Vanadium Redox Battery energy storage , 2008, 2008 11th International Conference on Optimization of Electrical and Electronic Equipment.

[5]  A. Rufer,et al.  Multiphysics and energetic modeling of a vanadium redox flow battery , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.

[6]  Zhang Yu,et al.  Performance study of a Vanadium Redox Flow Battery (VRB) for use in green data centers , 2015, 2015 IEEE International Telecommunications Energy Conference (INTELEC).

[7]  C. Marinescu,et al.  VRB modeling for storage in stand-alone wind energy systems , 2009, 2009 IEEE Bucharest PowerTech.

[8]  C. Marinescu,et al.  Smart storage solution for wind systems , 2009, 2009 IEEE Bucharest PowerTech.

[9]  Said F. Al-Sarawi,et al.  Induction Motor Parameter Estimation Using Sparse Grid Optimization Algorithm , 2016, IEEE Transactions on Industrial Informatics.

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

[11]  Ping Ju,et al.  Nonlinear dynamic load modelling: model and parameter estimation , 1996 .

[12]  Olof Samuelsson,et al.  Influence of normalization in dynamic reactive load models , 2003 .

[13]  Mike Barnes,et al.  Two electrical models of the lead-acid battery used in a dynamic voltage restorer , 2003 .

[14]  M. L. Crow,et al.  A Balance-of-Plant Vanadium Redox Battery System Model , 2015, IEEE Transactions on Sustainable Energy.

[15]  Sasa Z. Djokic,et al.  Processing of load parameters based on Existing Load Models , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

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

[17]  Sheldon S. Williamson,et al.  Digital Control of a Bidirectional DC/DC Switched Capacitor Converter for Hybrid Electric Vehicle Energy Storage System Applications , 2014, IEEE Transactions on Smart Grid.

[18]  Wen-Shiow Kao The effect of load models on unstable low-frequency oscillation damping in Taipower system experience w/wo power system stabilizers , 2001 .

[19]  Günter Rudolph,et al.  Convergence analysis of canonical genetic algorithms , 1994, IEEE Trans. Neural Networks.

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

[21]  Xiao-Ping Zhang,et al.  Composite load models based on field measurements and their applications in dynamic analysis , 2007 .

[22]  D. Kosterev,et al.  An Interim Dynamic Induction Motor Model for Stability Studies in the WSCC , 2002, IEEE Power Engineering Review.

[23]  David J. Hill,et al.  Nonlinear dynamic load models with recovery for voltage stability studies , 1993 .

[24]  Chen Qian An Identifiability Analysis of a Synthetic Load Model with the Distribution Network Considered , 2008 .

[25]  Mariesa L. Crow,et al.  A Field Validated Model of a Vanadium Redox Flow Battery for Microgrids , 2014, IEEE Transactions on Smart Grid.

[26]  K. Tomsovic,et al.  Adaptive Power Flow Method for Distribution Systems with Dispersed Generation , 2002, IEEE Power Engineering Review.

[27]  Abel Alberto Cuadrado Vega,et al.  Implementation of a Hybrid Distributed/Centralized Real-Time Monitoring System for a DC/AC Microgrid With Energy Storage Capabilities , 2016, IEEE Transactions on Industrial Informatics.

[28]  G. Joos,et al.  VRB Modelling for the Study of Output Terminal Voltages, Internal Losses and Performance , 2007, 2007 IEEE Canada Electrical Power Conference.

[29]  D.J. Hill,et al.  Load modeling by finding support vectors of load data from field measurements , 2006, IEEE Transactions on Power Systems.

[30]  Frank C. Walsh,et al.  A dynamic performance model for redox-flow batteries involving soluble species , 2008 .