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Related Experiment Video

Updated: Jan 1, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

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Published on: February 14, 2025

Hybrid AC/DC microgrid test system simulation: grid-connected mode.

Leony Ortiz¹, Rogelio Orizondo¹, Alexander Águila¹

¹Carrera de Ingeniería Eléctrica, Grupo de Investigación GIREI, Universidad Politécnica Salesiana, Quito, Ecuador.

|December 24, 2019

Summary

This summary is machine-generated.

A new Microgrid (MG) test model, based on the IEEE 14-busbar system, is presented for analyzing electrical grids transitioning to Smart Grids (SG). This simulation tool supports research into distributed resources, power flow, and grid stability.

Keywords:

Distributed resources Electrical engineering Hybrid energy systems Microgrid benchmark Power converter Power flow Power system operation Smart grid technology System diagnostics

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Area of Science:

Electrical Engineering
Power Systems
Smart Grids

Background:

The transition to Smart Grids (SG) necessitates robust test models for analyzing complex electrical systems.
Existing distribution systems require adaptation to integrate distributed resources and advanced control strategies.

Purpose of the Study:

To propose a Microgrid (MG) test model based on the IEEE 14-busbar distribution system.
To provide a foundational tool for power flow analysis and quality assessment in SG environments.
To establish a benchmark for future research on MG control, stability, and optimization.

Main Methods:

Development of a Microgrid (MG) test model incorporating DC and AC buses.
Integration of diverse loads and distributed generation across two voltage levels.
Simulation of the complete MG model using MATLAB/Simulink.

Main Results:

A functional MG test model simulating the IEEE 14-busbar system is established.
The model serves as a base case for power flow and quality variable analysis.
The simulation environment is validated for further research applications.

Conclusions:

The proposed MG test model is a valuable research tool for SG development.
It facilitates comprehensive analysis of power systems with distributed resources.
The model supports a wide range of future studies including stability, control, and energy storage.