Application of Dynamic System Models in Solar Power Plants for Modeling, Control and Simulation

makkulau, andi and Samsurizal, Samsurizal and fikri, miftahul and Pasra, Nurmiati (2023) Application of Dynamic System Models in Solar Power Plants for Modeling, Control and Simulation. Proceedings - 2023 International Conference on Networking, Electrical Engineering, Computer Science, and Technology, IConNECT 2023. pp. 92-97.

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Abstract

Solar energy campaigns (photovoltaic) are in great demand because they provide the advantages of being a clean energy source and the ability to speed the integration of new and renewable energy (NRE) into the energy mix. Photovoltaic energy is a green energy source since it produces relatively little carbon dioxide compared to other types of power plants. Evaluation of the effectiveness and reliability of solar power plant performance was the study’s main objective. The outcomes of several calculations and measurements are used to analyze the efficacy of solar power facilities. A comparative quantitative model was used as the technique in this study. A dynamic system was used as the model, which is a technique for modeling a dynamic system—a system that changes over time. Using dynamic systems, we may create recommendations and investigative situations. Dynamic system modeling software analyzes secondary data with validated simulation data with an average efficiency of 18.8% to provide more accurate information.

Item Type: Article
Additional Information: Date of Conference: 25-26 August 2023 Date Added to IEEE Xplore: 27 November 2023 Conference Location: Bandar Lampung, Indonesia
Uncontrolled Keywords: photovoltaic, modeling, simulation, dynamic system
Subjects: Bidang Keilmuan > Electrical Engineering
Jurnal
Bidang Keilmuan > Solar Cell
Bidang Keilmuan > Teknik Elektro
Bidang Keilmuan > Teknik Tenaga Listrik
Divisions: Fakultas Ketenagalistrikan dan Energi Terbarukan > S1 Teknik Elektro
Depositing User: Yudha Formanto
Date Deposited: 07 Oct 2025 07:29
Last Modified: 07 Oct 2025 07:29
URI: https://repository.itpln.ac.id/id/eprint/1895

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