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DOI: 10.15507/2658-4123.035.202501.333-354

 

Combination of Evolutionary Algorithms and Direct Search Approaches for Improving the Dynamic Performance of Grid Connected Solar Power System

 

Amit Verma
Research Scholar, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology (Deoria Road, Gorakhpur 273016, India), ORCID: https://orcid.org/0000-0002-1591-1523, This email address is being protected from spambots. You need JavaScript enabled to view it.

Prabhakar Tiwari
PhD., Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology (Deoria Road, Gorakhpur 273016, India), ORCID: https://orcid.org/0000-0003-3923-9126, This email address is being protected from spambots. You need JavaScript enabled to view it.

Desh D. Sharma
PhD., Associate Professor, Department of Electrical Engineering, Mahatma Jyotiba Phule Rohilkhand University (Pilibhit Bypass Road, Bareilly 243006, India), ORCID: https://orcid.org/0000-0003-4512-4878, This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Abstract
Introduction. The Grid Connected Photovoltaic System comprises two fundamental control loops: an external loop responsible for overseeing the DC link voltage, and an internal control loop that regulates the inverter current. The primary element of any control loop is the proportional-integral controller and determining the appropriate gains for this controller is a difficult issue.
Aim of the Study. The study aimed to adjust the gains of the PI controllers in both static and dynamic irradiance scenarios for improving DC-link voltage by novel hybrid optimization method named Genetic Algorithm- Simulated Annealing and Genetic Algorithm-Pattern search.
Materials and Methods. In this paper we use two hybrid optimizations techniques called Genetic Algorithm- simulated Annealing and Genetic Algorithm- Pattern Search to adjust the gains of the PI controllers in both static and dynamic irradiance scenarios for improving DC-link voltage.
Results. Finally, this study presents comparison of DC-link voltage with six cases with manual tuning of PI controller, as well as PI controller by Genetic Algorithm- simulated Annealing, Genetic Algorithm- Pattern Search, Genetic Algorithm, Simulated Annealing and Pattern Search. The comparison showed by using Genetic Algorithm-Simulated Annealing, peak overshoot in DC-link voltage is 829.3 V while peak overshoot in DC-link voltage is 1 052 V when DC-link voltage is controlled by manual tuning of PI as well as significant reduction in peak time and settling time in DC-link voltage.
Discussion and Conclusion. The results achieved to strengthen the DC-link voltage under both static and dynamic irradiance conditions enable the sustaining of a constant DC-link voltage, which is essential for grid-connected photovoltaic systems. The comparison showed by using Genetic Algorithm- Simulated Annealing, peak overshoot in DC-link voltage is 829.3 V while peak overshoot in DC-link voltage is 1 052 V when DC-link voltage is controlled by manual tuning of PI as well as significant reduction in peak time and settling time in DC-link voltage.

Keywords: genetic algorithm, simulated annealing, pattern search, hybridized genetic algorithm and simulated annealing

Conflict of interest: The authors declare that there is no conflict of interest.

For citation: Verma A., Tiwari P., Sharma D. D. Combination of Evolutionary Algorithms and Direct Search Approaches for Improving the Dynamic Performance of Grid Connected Solar Power System. Engineering Technologies and Systems. 2025;35(2):333–354. https://doi.org/10.15507/2658-4123.035.202502.333-354

Authors contribution:
А. Verma – developing the study methodology, creating the models, preparing the manuscript: critical analysis of the manuscript and of comments and corrections made by the members of the research group during the pre-publication and post-publication stages.
P. Tiwari – developing the study methodology, creating the models, carrying out the study, including performing experiments or collecting evidence; preparing the manuscript: visualizing the study the findings and data obtained.
D. D. Sharma – formulating the study idea, aims and objectives, carrying out the study including performing experiments and collecting evidence.

All authors have read and approved the final manuscript.

Submitted 19.09.2024;
revised 07.11.2024;
accepted 15.11.2024

 

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