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Related Experiment Video

Updated: Jun 13, 2025

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

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Published on: February 14, 2025

Adaptive control strategy for microgrid inverters based on Narendra model.

Qing Wang¹, Guimin Li², Zhiru Chen³

¹Marketing Service Center (Metrology Center), State Grid Shandong Electric Power Company, Jinan, 250000, Shandong, China. wangqing20231127@163.com.

Scientific Reports

|September 13, 2024

Summary

This study enhances microgrid inverter control using Narendra model and adaptive strategies. The improved system offers faster voltage recovery and reduced harmonics, benefiting complex microgrid operations.

Keywords:

Adaptive control strategy Control performance Inverter Microgrid Narendra model

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Area of Science:

Electrical Engineering
Power Systems Engineering

Background:

Microgrid technology is advancing with increased distributed generation capacity.
Complex operating conditions degrade microgrid inverter control performance.

Purpose of the Study:

To improve microgrid inverter control performance in complex situations.
To achieve real-time voltage correction and compensation.

Main Methods:

Fusion of Narendra model and adaptive control strategies.
Real-time voltage correction and compensation techniques.

Main Results:

Inverters demonstrated faster voltage recovery (approx. one cycle) after load switching.
Significant reduction in port voltage harmonic rate from 10.43% to 1.92%.
Improved control performance compared to traditional and standard adaptive systems.

Conclusions:

The proposed method effectively enhances inverter control performance in microgrids.
Successfully addresses voltage deviation, three-phase asymmetry, and harmonic pollution.
Provides theoretical and data support for future microgrid research.