A Frequency Stability Improving of Microgrids Using Virtual Inertia Control Based on PID and PIDA Controller

Traditional generating units are being increasingly replaced by renewable energy sources, which negatively affect the frequency stability and system inertia of the microgrid , thereby weakening its overall stability. Frequency stability is the key concern in islanded MG, as the integration of RESs increases the system’s sensitivity to frequency disturbance. This study presents, away to control the disturbance of MGs that are introduced due to changes in the load and variation of RESs such as wind turbine and photovoltaic . As a result of this disturbance, the rate of change of frequency is high. A load frequency control was implemented to improve the MG’s frequency. Therefore, the LFC model for MG is built on MATLAB/Simulink, then a virtual inertial controller using a battery source is added to sustain inertia MG against variations of RESs and load. Proportional-Integral Derivative and Proportional-Integral-Derivative Acceleration controllers are used in the LFC model for minimizing the frequency rate of change. The MG system is assessed under different load patterns, in addition to the power variation patterns of wind and solar generation. A comparison of the VI, PID, and PIDA controllers reveals that the PIDA controller outperforms the VI and PID controllers. In the RESs and load variation scenario, the suggested controller reduced the maximum frequency deviation from 25.68 Hz to 0.06 Hz and decreased the integral absolute error in RESs and load variation, demonstrating dynamic performance under all disturbance scenarios. Finally, the PIDA controller gave the most effective rising of frequency stability.

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Publication Details

Journal
SVU-International Journal of Engineering Sciences and Applications
Published
2025-12-01
DOI
https://doi.org/10.21608/svusrc.2025.440556.1307
Primary Topic
Frequency Control in Power Systems
Type
article
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article

A Frequency Stability Improving of Microgrids Using Virtual Inertia Control Based on PID and PIDA Controller

Montaser Abdelsattar, Asmaa Gad Amin, Alaa eldien Hassan, Ibrahim A Khalaf
SVU-International Journal of Engineering Sciences and Applications
Frequency Control in Power Systems
article

A Frequency Stability Improving of Microgrids Using Virtual Inertia Control Based on PID and PIDA Controller

Montaser Abdelsattar, Asmaa Gad Amin, Alaa eldien Hassan, Ibrahim A Khalaf
article en

Abstract

Traditional generating units are being increasingly replaced by renewable energy sources, which negatively affect the frequency stability and system inertia of the microgrid , thereby weakening its overall stability. Frequency stability is the key concern in islanded MG, as the integration of RESs increases the system’s sensitivity to frequency disturbance. This study presents, away to control the disturbance of MGs that are introduced due to changes in the load and variation of RESs such as wind turbine and photovoltaic . As a result of this disturbance, the rate of change of frequency is high. A load frequency control was implemented to improve the MG’s frequency. Therefore, the LFC model for MG is built on MATLAB/Simulink, then a virtual inertial controller using a battery source is added to sustain inertia MG against variations of RESs and load. Proportional-Integral Derivative and Proportional-Integral-Derivative Acceleration controllers are used in the LFC model for minimizing the frequency rate of change. The MG system is assessed under different load patterns, in addition to the power variation patterns of wind and solar generation. A comparison of the VI, PID, and PIDA controllers reveals that the PIDA controller outperforms the VI and PID controllers. In the RESs and load variation scenario, the suggested controller reduced the maximum frequency deviation from 25.68 Hz to 0.06 Hz and decreased the integral absolute error in RESs and load variation, demonstrating dynamic performance under all disturbance scenarios. Finally, the PIDA controller gave the most effective rising of frequency stability.

SVU-International Journal of Engineering Sciences and ApplicationsVol. 6(2)
South Valley University (EG), Artificial Intelligence in Medicine (Canada) (CA)
Affordable and clean energy
Openalex Percentile: Top 41%
Frequency Control in Power Systems
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