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Advanced Control Strategies for Photovoltaic Energy Systems

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: 10 March 2026 | Viewed by 1446

Special Issue Editors


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Guest Editor
Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milan, Italy
Interests: photovoltaic systems; microgrids; power electronics; renewable energy technologies, energy resilience, model predictive control

E-Mail Website
Guest Editor
Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milan, Italy
Interests: photovoltaic systems; MPPT algorithms; renewable energies; power electronics; wireless power transfer; electric vehicles
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Special Issue Information

Dear Colleagues,

The global transition toward sustainable energy systems has set photovoltaic (PV) technology as a key pillar for the use of renewable energy adoption. However, the widespread integration of PV systems into power grids introduces challenges, such as intermittent generation, power quality issues, and system reliability concerns, correlated to the availability of the primary energy source and operational disturbances. To overcome these challenges, advanced control strategies are essential for optimizing performance, enhancing resilience, and ensuring the reliable integration of PV systems into modern energy infrastructures.

This Special Issue explores novel methodologies, algorithms, and technologies aimed at improving the operation, management, and resilience of PV systems.

Topics of interest include, but are not limited to, the following:

  • Adaptive control techniques;
  • Strategies for hybrid energy storage system control;
  • Fault detection and mitigation;
  • Grid-supportive control;
  • Artificial intelligence and machine learning-based optimization;
  • Approaches for enhancing energy efficiency and system stability;
  • Innovations that strengthen the resilience of PV systems to disruptions, ensuring sustainable operation under varying conditions.

Contributions covering theoretical advancements, experimental validations, and practical applications are particularly encouraged.

Dr. Ana Cabrera-Tobar
Dr. Alberto Dolara
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

  • photovoltaic energy systems
  • advanced control strategies
  • resilience
  • photovoltaic grid integration
  • artificial intelligence
  • energy storage optimization
  • fault detection and mitigation
  • hybrid energy systems

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Published Papers (2 papers)

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Research

19 pages, 2609 KB  
Article
Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations
by Ana Cabrera-Tobar, Greta Vallero, Giovanni Perin, Michela Meo, Francesco Grimaccia and Sonia Leva
Energies 2025, 18(23), 6115; https://doi.org/10.3390/en18236115 - 22 Nov 2025
Viewed by 287
Abstract
Telecommunication Base Transceiver Stations (BTSs) require a resilient and sustainable power supply to ensure uninterrupted operation, particularly during grid outages. Thus, this paper proposes an Adaptive Model Predictive Control (AMPC)-based Energy Management System (EMS) designed to optimize energy dispatch and demand response for [...] Read more.
Telecommunication Base Transceiver Stations (BTSs) require a resilient and sustainable power supply to ensure uninterrupted operation, particularly during grid outages. Thus, this paper proposes an Adaptive Model Predictive Control (AMPC)-based Energy Management System (EMS) designed to optimize energy dispatch and demand response for a BTS powered by a renewable-based microgrid. The EMS operates under two distinct scenarios: (a) non-grid outages, where the objective is to minimize grid consumption, and (b) outage management, aiming to maximize BTS operational time during grid failures. The system incorporates a dynamic weighting mechanism in the objective function, which adjusts based on real-time power production, consumption, battery state of charge, grid availability, and load satisfaction. Additionally, a demand response strategy is implemented, allowing the BTS to adapt its power consumption according to energy availability. The proposed EMS is evaluated based on BTS loss of transmitted data under different renewable energy profiles. Under normal operation, the EMS is assessed regarding grid energy consumption. Simulation results demonstrate that the proposed AMPC-based EMS enhances BTS resilience. Full article
(This article belongs to the Special Issue Advanced Control Strategies for Photovoltaic Energy Systems)
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22 pages, 8021 KB  
Article
Advanced Single-Phase Non-Isolated Microinverter with Time-Sharing Maximum Power Point Tracking Control Strategy
by Anees Alhasi, Patrick Chi-Kwong Luk, Khalifa Aliyu Ibrahim and Zhenhua Luo
Energies 2025, 18(18), 4925; https://doi.org/10.3390/en18184925 - 16 Sep 2025
Viewed by 804
Abstract
Partial shading poses a significant challenge to photovoltaic (PV) systems by degrading power output and overall efficiency, especially under non-uniform irradiance conditions. This paper proposes an advanced time-sharing maximum power point tracking (MPPT) control strategy implemented through a non-isolated single-phase multi-input microinverter architecture. [...] Read more.
Partial shading poses a significant challenge to photovoltaic (PV) systems by degrading power output and overall efficiency, especially under non-uniform irradiance conditions. This paper proposes an advanced time-sharing maximum power point tracking (MPPT) control strategy implemented through a non-isolated single-phase multi-input microinverter architecture. The system enables individual power regulation for multiple PV modules while preserving their voltage–current (V–I) characteristics and eliminating the need for additional active switches. Building on the concept of distributed MPPT (DMPPT), a flexible full power processing (FPP) framework is introduced, wherein a single MPPT controller sequentially optimizes each module’s output. By leveraging the slow-varying nature of PV characteristics, the proposed algorithm updates control parameters every half-cycle of the AC output, significantly enhancing controller utilization and reducing system complexity and cost. The control strategy is validated through detailed simulations and experimental testing under dynamic partial shading scenarios. Results confirm that the proposed system maximizes power extraction, maintains voltage stability, and offers improved thermal performance, particularly through the integration of GaN power devices. Overall, the method presents a robust, cost-effective, and scalable solution for next-generation PV systems operating in variable environmental conditions. Full article
(This article belongs to the Special Issue Advanced Control Strategies for Photovoltaic Energy Systems)
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