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Progress and Challenges in Solar Photovoltaic Materials and Intelligent Control

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: 30 November 2024 | Viewed by 2124

Special Issue Editor


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Guest Editor
School of Electrical Engineering, Chongqing University, Chongqing 400044, China
Interests: solar energy; power electronics; artificial intelligence

Special Issue Information

Dear Colleagues,

As research in the field of renewable energy continues to deepen, solar energy, as a powerful tool with which to promote the global energy transition and mitigate climate change, is regarded as among the most valuable renewable energies.  In recent decades, the efficiency of solar energy has improved significantly and its price has declined. However, photovoltaic (PV) power generation, as a vital form of solar energy utilization, continues to face efficiency limits. The promotion and application of solar PV power generation technology face various constraints, including factors such as PV panel materials and costs, PV panel topology and converter design, and local shading, all of which significantly impact the system's energy conversion efficiency.

This exciting research domain includes fields such as materials and costs, topology and converter design, power electronics, systems modeling, analysis and control. In addition, recent advances in AI and control have extended to solar PV arrays in order to enable standardized design and the application of different optimization control techniques.

This Special Issue solicits papers that relate to the successful planning, investment, application, and operation of solar PV. This Special Issue focuses on topics including, but not limited to, the following:

  • Solar PV materials, including new and further developed solutions, modeling, and simulations;
  • Solar PV cells and modules design;
  • Power electronics topology for solar energy;
  • Solar PV solutions for off-grid and grid-connected operation;
  • Novel optimization and control techniques;
  • Modeling, simulation, and stability analysis of PV systems;
  • Schemes for increased Solar PV penetration (e.g., coordination with storage);
  • Performance analysis of Solar PV modules;
  • Economic dispatch for Solar energy systems;
  • Renewable energy policy and incentive studies for increased Solar PV penetration;
  • New concept of "PV+" to optimize the energy structure of PV generation and consumption.

Contributions reporting original theoretical works and experiences in practical implementation are of interest. With regard to practical works, negative results are also welcome. In addition, critical review papers addressing the technologies, policies, and financial aspects of PV systems will be considered for publication. I would like to cordially invite you to contribute to this Special Issue.

Dr. Mingxuan Mao
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • solar PV materials
  • artificial intelligence for solar energy systems
  • renewable energy
  • impacts of Solar PV on power systems
  • dynamical modeling and simulation
  • control of Solar PV arrays
  • economic dispatch
  • power quality enhancement
  • new concept of "PV+"
 

Published Papers (3 papers)

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Research

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16 pages, 7512 KiB  
Article
A Novel Harris-Hawk-Optimization-Based Maximum-Power-Point-Tracking Control Strategy for a Grid-Connected PV Power-Generation System
by Xiang Tao, Jianbo Xin, Shuai Zhang, Zaide Xu, Zhonghai Ye, Kai Wang, Bo Chen and Ning Zhou
Energies 2024, 17(1), 76; https://doi.org/10.3390/en17010076 - 22 Dec 2023
Cited by 1 | Viewed by 656
Abstract
This paper aims to assess the efficacy of the Harris Hawk Optimization (HHO) algorithm within the domain of photovoltaic (PV) power-generation systems. The focus lies in elucidating how the HHO algorithm optimizes maximum-power-point tracking (MPPT) and augments the performance of grid-connected PV systems. [...] Read more.
This paper aims to assess the efficacy of the Harris Hawk Optimization (HHO) algorithm within the domain of photovoltaic (PV) power-generation systems. The focus lies in elucidating how the HHO algorithm optimizes maximum-power-point tracking (MPPT) and augments the performance of grid-connected PV systems. Initially, in the MATLAB/Simulink environment, a comparison is made between the HHO algorithm and two other extensively utilized methods for maximum-power-point tracking (MPPT): Perturb and Observe (P&O) and Particle Swarm Optimization (PSO). Preliminary findings indicate the HHO algorithm’s notable advantages in efficiency and speed over the other algorithms. Furthermore, by establishing a practical experimental platform and synchronously verifying outcomes through simulation, we conducted a comprehensive assessment of the HHO algorithm on a single-phase full-bridge-inverter grid-connected system. Results show the HHO algorithm’s exceptional optimization capabilities, which displays superior adaptability and ability to adjust to varying external conditions. Full article
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Review

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17 pages, 3255 KiB  
Review
A Comprehensive Review of Physical Models and Performance Evaluations for Pavement Photovoltaic Modules
by Mingxuan Mao and Xiaoyu Ni
Energies 2024, 17(11), 2561; https://doi.org/10.3390/en17112561 - 25 May 2024
Viewed by 382
Abstract
Pavement photovoltaic (PV) is an innovative energy-harvesting technology that seamlessly integrates into road surfaces, merging established PV power generation methods with conventional roadway infrastructure. This fusion optimally utilizes the extensive spatial assets inherent in road networks. This paper offers an exhaustive examination of [...] Read more.
Pavement photovoltaic (PV) is an innovative energy-harvesting technology that seamlessly integrates into road surfaces, merging established PV power generation methods with conventional roadway infrastructure. This fusion optimally utilizes the extensive spatial assets inherent in road networks. This paper offers an exhaustive examination of the literature concerning the physical models and performance evaluation of photovoltaic pavements. This study delineates the essential three-tier structure of pavement modules and juxtaposes the advantages and drawbacks of design models across these strata, thereby facilitating the development of more suitable solutions for varying application scenarios. The importance of accommodating fluctuations in shadows and countering the heat island effect (HIE) is emphasized. Nevertheless, the technology remains in its nascent research phase, characterized by challenges associated with limited long-term durability and efficacy. Building upon these findings, this study addresses the challenges confronting pavement PV from three perspectives and outlines future prospects and recommendations for its progression. Full article
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18 pages, 3865 KiB  
Review
Control and Intelligent Optimization of a Photovoltaic (PV) Inverter System: A Review
by Qianjin Zhang, Zhaorong Zhai, Mingxuan Mao, Shijing Wang, Siwei Sun, Dikui Mei and Qi Hu
Energies 2024, 17(7), 1571; https://doi.org/10.3390/en17071571 - 26 Mar 2024
Viewed by 798
Abstract
PV power generation is developing fast in both centralized and distributed forms under the background of constructing a new power system with high penetration of renewable sources. However, the control performance and stability of the PV system is seriously affected by the interaction [...] Read more.
PV power generation is developing fast in both centralized and distributed forms under the background of constructing a new power system with high penetration of renewable sources. However, the control performance and stability of the PV system is seriously affected by the interaction between PV internal control loops and the external power grid. The impact of the PV system on the reliability, stability, and power quality of power systems has restricted them to further participate in power supplies with a large capacity. Traditional control methods have become ineffective at dealing with these problems as the PV system becomes increasingly complex and nonlinear. Intelligent control as a more advanced technology has been integrated into the PV system to improve system control performance and stability. However, intelligent control for the PV system is still in the early stages due to the extensive calculation and intricate implementation of intelligent algorithms. Further investigations should be carried out to effectively combine intelligent control with the PV system to constitute an intelligent PV power system with multiple functions, high stability, and high-performance. This paper provides a systematic classification and detailed introduction of various intelligent optimization methods in a PV inverter system based on the traditional structure and typical control. The future trends and research topics are given to provide a reference for the intelligent optimization control in the PV system. Full article
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