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Evaluation of Grid-Connected Photovoltaic Plants Based on Clustering Methods

Amr A. Munshi*

Computer Engineering Department, Umm Al-Qura University, Saudi Arabia

* Corresponding Author: Amr A. Munshi. Email: email

Computer Systems Science and Engineering 2023, 45(3), 2837-2852. https://doi.org/10.32604/csse.2023.033168

Abstract

Photovoltaic (PV) systems are electric power systems designed to supply usable solar power by means of photovoltaics, which is the conversion of light into electricity using semiconducting materials. PV systems have gained much attention and are a very attractive energy resource nowadays. The substantial advantage of PV systems is the usage of the most abundant and free energy from the sun. PV systems play an important role in reducing feeder losses, improving voltage profiles and providing ancillary services to local loads. However, large PV grid-connected systems may have a destructive impact on the stability of the electric grid. This is due to the fluctuations of the output AC power generated from the PV systems according to the variations in the solar energy levels. Thus, the electrical distribution system with high penetration of PV systems is subject to performance degradation and instabilities. For that, this project attempts to enhance the integration process of PV systems into electrical grids by analyzing the impact of installing grid-connected PV plants. To accomplish this, an indicative representation of solar irradiation datasets is used for planning and power flow studies of the electric network prior to PV systems installation. Those datasets contain lengthy historical observations of solar energy data, that requires extensive analysis and simulations. To overcome that the lengthy historical datasets are reduced and clustered while preserving the original data characteristics. The resultant clusters can be utilized in the planning stage and simulation studies. Accordingly, studies related to PV systems integration into the electric grid are conducted in an efficient manner, avoiding computing resources and processing times with easier and practical implementation.

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APA Style
Munshi, A.A. (2023). Evaluation of grid-connected photovoltaic plants based on clustering methods. Computer Systems Science and Engineering, 45(3), 2837-2852. https://doi.org/10.32604/csse.2023.033168
Vancouver Style
Munshi AA. Evaluation of grid-connected photovoltaic plants based on clustering methods. Comput Syst Sci Eng. 2023;45(3):2837-2852 https://doi.org/10.32604/csse.2023.033168
IEEE Style
A.A. Munshi, "Evaluation of Grid-Connected Photovoltaic Plants Based on Clustering Methods," Comput. Syst. Sci. Eng., vol. 45, no. 3, pp. 2837-2852. 2023. https://doi.org/10.32604/csse.2023.033168



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