2024 : 4 : 14
Mohammad Bayat

Mohammad Bayat

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0003-1465-0015
Education: PhD.
ScopusId: 56681445600
Faculty: Engineering
Address: Arak University
Phone:

Research

Title
Microgrid small-signal stability analysis considering dynamic load model
Type
JournalPaper
Keywords
Microgrid, stability analysis, dynamic load
Year
2021
Journal IET RENEW POWER GEN
DOI
Researchers Aram Mahdavian ، Aliasghar Ghadimi ، Mohammad Bayat

Abstract

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.