Open AccessMicrogrid small‐signal stability analysis considering dynamic load model
Author(s) -
Mahdavian Aram,
Ghadimi Ali Asghar,
Bayat Mohammad
Publication year - 2021
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/rpg2.12203
Subject(s) - microgrid , control theory (sociology) , small signal model , root locus , matlab , eigenvalues and eigenvectors , transient (computer programming) , inertia , dynamic load testing , stability (learning theory) , computer science , state space representation , control engineering , engineering , control system , voltage , physics , control (management) , structural engineering , classical mechanics , quantum mechanics , artificial intelligence , machine learning , algorithm , electrical engineering , operating system
Microgrids suitable operation depends on the system's proper design, based on accurate component models. A complete model considering entire system dynamics is a vital necessity for a successful design. Using dynamic load in microgrid small‐signal model results in a model that shows transient and steady‐state dynamics, since designing a low‐inertia system like microgrid need extra accuracy. In this paper, an inverter‐based microgrid's small‐signal model in islanded operation mode containing a dynamic load model has been achieved. The Exponential Recovery Load (ERL) model is presented here to study the dynamic behavior of load. Microgrid stability analysis has been carried out for both static and dynamic load models. To attain this goal, the entire component equations are obtained and linearized around an operating point, then the state‐space model is formed and eigenvalues are derived. System stability condition has been investigated by plotting eigenvalues and root locus method. In the final step, a simulation on Matlab/Simulink is performed to show the microgrids operation in the presence of a static and dynamic load.