Stability and eigenvalue sensitivity analysis of a BESS model in a microgrid

In this paper, the small signal stability of a Battery Energy Storage System (BESS) used in a low voltage islanded microgrid is investigated for an ohmic load case using eigenvalue sensitivity analysis. Two approaches namely Quasi Steady State (QSS) and Dynamic Phasor Modeling (DPM) are presented and compared for a reference BESS in a real microgrid. The QSS approach is considered as a traditional method to model system dynamics assuming that they are slow enough to apply steady state rules. The DPM approach on the other hand considers the electrical dynamics in the control feedback loop and the coupling between the parallel inverters. The evaluation of the mathematical models for both approaches as well as simulation and measurement results are presented. The classical QSS stability analysis applied to the BESS does not show the dependency of stability margins on droop parameters, smoothing time constant or load parameters. This problem can be overcome by the presented DPM method. The sensitivity of the BESS and load parameters on stability limits is studied in detail.

[1]  M A Hannan,et al.  Dynamic Phasor Modeling and EMT Simulation of USSC , .

[2]  Argo Rosin,et al.  Mathematical modeling of a battery energy storage system in grid forming mode , 2017, 2017 IEEE 58th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON).

[3]  Yan Li,et al.  Microgrid stability: Classification and a review , 2016 .

[4]  Jay F. Whitacre,et al.  Evaluating the value of batteries in microgrid electricity systems using an improved Energy Systems Model , 2015 .

[5]  Yi Luo,et al.  Energy Storage System Sizing Based on a Reliability Assessment of Power Systems Integrated with Wind Power , 2017 .

[6]  Liu Yi-l Improved State-space Model and Analysis of Islanding Inverter-based Microgrid , 2014 .

[7]  Ana Djordjevic,et al.  Influence of battery energy storage system on generation adequacy and system stability in hybrid micro grids , 2016, 2016 4th International Symposium on Environmental Friendly Energies and Applications (EFEA).

[8]  S. Iyer,et al.  A Generalized Computational Method to Determine Stability of a Multi-inverter Microgrid , 2010, IEEE Transactions on Power Electronics.

[9]  Josep M. Guerrero,et al.  Precise modeling based on dynamic phasors for droop-controlled parallel-connected inverters , 2012, 2012 IEEE International Symposium on Industrial Electronics.

[10]  Walter Schumacher,et al.  Modeling power inverter interactions in a low voltage grid , 2014, 2014 IEEE 15th Workshop on Control and Modeling for Power Electronics (COMPEL).

[11]  Jih-Sheng Lai,et al.  State-space modeling, analysis, and implementation of paralleled inverters for microgrid applications , 2010, 2010 Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[12]  Ritwik Majumder,et al.  Some Aspects of Stability in Microgrids , 2013, IEEE Transactions on Power Systems.

[13]  P. Kundur,et al.  Power system stability and control , 1994 .