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Microgrid Modeling for Stability Analysis

Danny Espín-Sarzosa, Rodrigo Palma-­Behnke, Claudio A. Cañizares, U.D. Annakkage, Marcelo Elizondo, Enrique Espina, Wei Du, Mahmoud Kabalan, Lasantha Meegahapola, Patricio Mendoza‐Araya, Ehsan Nasr‐Azadani, Ahda P. Grilo, Rodrigo A. Ramos, Michael Ropp, Kevin P. Schneider, John W. Simpson-Porco, Kai Strunz, Glauco N. Taranto, Francis Tuffner, James Reilly

2023IEEE Transactions on Smart Grid41 citationsDOIOpen Access PDF

Abstract

This document is a summary of a report prepared by the IEEE PES Task Force (TF) on Microgrid (MG) Dynamic Modeling, IEEE Power and Energy Society, Tech. Rep. PES-TR106, 2023. In this paper, the major issues and challenges in microgrid modeling for stability analysis are discussed, and a review of state-of-the-art modeling approaches and trends is presented. In the context of the IEEE 1547 standard, the document covers issues associated with component models for MG dynamic studies and simulations, including generator and grid modeling, full and average converter models, unbalanced and balanced system conditions, dynamic and static loads, protection requirements, and detailed and simplified controls considering communications delays, packet losses, and security issues. Considering the future integration of grids and MGs to form broad integrated networks, a discussion is presented of the use of phasor vis-à-vis electromagnetic transient simulation tools for MG dynamic stability studies, as well as modeling scale-up issues and MG equivalent models. Specifically white-, grey-, and black-box models, are presented. This TF paper and companion report constitute a modeling guide for R&D groups working on developments and standards of MGs with a focus on stability issues.

Topics & Concepts

MicrogridPhasorComputer scienceContext (archaeology)Electric power systemGridStability (learning theory)Smart gridTransient (computer programming)EngineeringControl engineeringReliability engineeringPower (physics)Renewable energyElectrical engineeringPaleontologyMathematicsMachine learningBiologyGeometryQuantum mechanicsPhysicsOperating systemMicrogrid Control and OptimizationIslanding Detection in Power SystemsHVDC Systems and Fault Protection
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