Stability of metaheuristic PID controllers in photovoltaic dc microgrids

This article presents the stability assessment of metaheuristic PID controllers in the hierarchical control system of photovoltaic DC microgrids. Stability is a critical aspect of DC microgrid systems. PID controllers are utilized at the primary, secondary and tertiary control levels of the DC microgrid’s hierarchical control system. Tuning of multiple PID controllers using traditional methods such as Ziegler-Nichols and Cohen-Coon tuning techniques becomes challenging under dynamic conditions of photovoltaic DC microgrids. Metaheuristic optimization algorithms are used to construct self-tuning PID controllers with improved stability. Experiments are performed to assess the stability of PID controlled system. Results exhibit that metaheuristic-tuned PID controllers of photovoltaic DC microgrids achieved superior performance in comparison with the traditional methods.

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Publication Details

Journal
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska
Published
2025-03-31
DOI
https://doi.org/10.35784/iapgos.6410
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21
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article

Stability of metaheuristic PID controllers in photovoltaic dc microgrids

Elvin Yusubov, Lala Bekirova
1 citations
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska
Microgrid Control and Optimization
1.21
article

Stability of metaheuristic PID controllers in photovoltaic dc microgrids

Elvin Yusubov, Lala Bekirova
article en
1 citations

Abstract

This article presents the stability assessment of metaheuristic PID controllers in the hierarchical control system of photovoltaic DC microgrids. Stability is a critical aspect of DC microgrid systems. PID controllers are utilized at the primary, secondary and tertiary control levels of the DC microgrid’s hierarchical control system. Tuning of multiple PID controllers using traditional methods such as Ziegler-Nichols and Cohen-Coon tuning techniques becomes challenging under dynamic conditions of photovoltaic DC microgrids. Metaheuristic optimization algorithms are used to construct self-tuning PID controllers with improved stability. Experiments are performed to assess the stability of PID controlled system. Results exhibit that metaheuristic-tuned PID controllers of photovoltaic DC microgrids achieved superior performance in comparison with the traditional methods.

Informatyka Automatyka Pomiary w Gospodarce i Ochronie ŚrodowiskaVol. 15(1)
Azerbaijan State Oil and Industry University (AZ)
Openalex Percentile: Top 23%
Microgrid Control and Optimization
1.21
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