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New Trends in Photovoltaic Power System

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A2: Solar Energy and Photovoltaic Systems".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 430

Special Issue Editors


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Guest Editor
Department of Electronic Engineering, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain
Interests: photovoltaic modules; photovoltaic systems; fault detection; modeling and simulation of PV systems
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Guest Editor
Department of Electrical Engineering, Electrical Engineering Laboratory, University of M'sila, M'sila 28000, Algeria
Interests: photovoltaic modules; photovoltaic system; microgrids; current control; renewable energy sources; simulation results

Special Issue Information

Dear Colleagues,

Photovoltaic (PV) systems have seen significant growth in global energy production over the past decades. Actual projections suggest it could exceed 10% of global electricity generation by 2030. Moreover, the PV system industry is evolving rapidly with new technologies, strategies, and innovations aimed at improving efficiency, reducing costs, and making solar energy more sustainable. Some key trends shaping the future of PV systems include the following:

-Bifacial solar panels, perovskite solar cells, and thin-film materials are emerging technologies that can help improve energy yield from the same surface area, making PV systems more efficient and cost-effective and allowing for integration into more diverse applications. 
-PV modules with transparent and flexible design are also an interesting emerging trend. These PV modules are integrated into windows, facades, and other surfaces without disrupting the esthetics or function of buildings. Their application in building-integrated photovoltaics (BIPV) is an interesting option in urban environments where rooftop space may be limited. 
-Solar tracking systems can improve the energy output of PV systems by adjusting the angle of PV modules to follow the sun’s path, maximizing exposure and efficiency and making them viable for large-scale solar farms.
-In the field of energy storage integration and smart grids, energy storage systems (ESSs) allow excess PV energy to be stored for use when sunlight is not available. The EES solutions increase the self-consumption, reduce reliance on the grid, and support the transition to renewable energy in areas with unstable or inadequate electricity infrastructure.
-PV and artificial intelligence (AI) can be used for the predictive maintenance and optimization of the performance of PV systems. This includes predictive algorithms that can detect issues before they cause significant downtime and real-time performance optimization including degradation monitoring.
-Hybrid solar systems combine PV with other forms of renewable energy, like wind, biomass, or with traditional power sources such as natural gas generators to improve reliability and energy production.
-Agri-Voltaics integrates PV generation with agricultural practices, allowing farmers to grow crops under or between PV modules. The modules provide shade and reduce water evaporation, while still generating power, helping to meet global food and energy demands in a sustainable way.
-Floating photovoltaics deals with PV modules that are mounted on floating platforms and promise high yields. Their proximity to water could support the cooling of solar cells, thus enabling them to work efficiently even in hot weather conditions.

As these trends continue to evolve, the PV sector will play a central role in meeting the world’s growing energy demands in a sustainable manner. This Special Issue aims to collect original research or review articles on new trends in PV power systems from an applied point of view.

Prof. Dr. Santiago Silvestre
Prof. Dr. Aissa Chouder
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • emerging PV technologies
  • artificial intelligence (AI)
  • energy storage systems (ESS)
  • smart grids
  • agri-photovoltaics
  • floating PV

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Published Papers (1 paper)

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Research

17 pages, 5552 KiB  
Article
MPPT-Based Chaotic ABC Algorithm for a Photovoltaic Power System Under Partial Shading Conditions
by Chian-Song Chiu and Yu-Ting Chen
Energies 2025, 18(7), 1710; https://doi.org/10.3390/en18071710 - 28 Mar 2025
Viewed by 208
Abstract
This paper presents a novel maximum power point tracking (MPPT) method designed for a photovoltaic (PV) power system operating under partial shading conditions. Partial shading conditions induce multiple power peak characteristics into the power–voltage curve of the PV power system, such that conventional [...] Read more.
This paper presents a novel maximum power point tracking (MPPT) method designed for a photovoltaic (PV) power system operating under partial shading conditions. Partial shading conditions induce multiple power peak characteristics into the power–voltage curve of the PV power system, such that conventional MPPT methods often lead local maximum power and result in suboptimal energy harvesting. To solve this problem, this paper proposes a chaotic artificial bee colony (CABC) algorithm hybridized with a chaotic searching behavior. The incorporation of the chaotic mapping enhances the exploration capability of bees (i.e., faster convergence time) and escapes local optima. To demonstrate its superior performance, the CABC algorithm is rigorously evaluated through simulations under two distinct partial shading scenarios, while making comparisons with the standard ABC algorithm and traditional MPPT methods. Therefore, the potential of this novel approach enhances MPPT accuracy, efficiency, and reliability in a partially shaded PV power system. Full article
(This article belongs to the Special Issue New Trends in Photovoltaic Power System)
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