New Trends in Grid-Connected Photovoltaic Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 4195

Special Issue Editors


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Guest Editor
Department of Electronic Engineering, Eastern Barcelona School of Engineering (EEBE), Technical University of Catalonia (UPC), BarcelonaTECH, E-08019 Barcelona, Spain
Interests: reconfigurable photovoltaic systems; renewable energy systems; hybrid energy systems; control on energy systems; smart grids and collaborative microgrids

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Guest Editor
Department of Electronic Engineering, Eastern Barcelona School of Engineering, EEBE, Technical University of Catalonia (UPC, BarcelonaTech), E-08019 Barcelona, Spain
Interests: electric power conversion; control of power converters; energy processing and management of renewable energy systems
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Special Issue Information

Dear Colleagues,

Renewable energy had another record year in 2019, as installed power capacity grew by more than 200 GW, its largest increase to date. Of this growth, 115 GW has been due to new photovoltaic (PV) solar installations, reaching a global capacity of 627 GW and approaching the 651 GW installed of wind power. All this has been driven by a reduction to the cost of PV modules to a world average of USD 0.36 per watt, becoming the lowest price in history.

This continuous growth has stimulated the evolution of technological advances in grid-connected photovoltaic (GCPV) systems, which account for 99% of PV systems in the world. In this context, addressing recent advances and new challenges in this field is almost mandatory. Accordingly, the use of transparent PV cells in building integrated application, the use of hybrid photovoltaic–thermal (PVT) collectors in district heating, and powering application or the raising of floating solar PV plants (floatovoltaic systems), and solar-based charging stations for EV are only a few examples of these recent advances.
The aim of this Special Issue is to publish original works related to recent advances in GCPV systems and thus promote the massive use of renewable PV energy. Topics of interest for this Special Issue include but are not limited to the following areas:

  • Feasibility studies for GCPV systems;
  • Advances in modeling and control of GCPV systems;
  • Advances in optimization and sizing of GCPV systems;
  • New trends in power electronics topologies for GCPV systems;
  • Advances in maximum power point tracking (MPPT and GMPPT) algorithms;
  • Advances in power quality improvement in GCPV systems;
  • Advances in reliability and resilience of GCPV systems;
  • New trends in electrical vehicles (EV) recharging in on- and off-grid environments;
  • New trends in PV energy-based optimal battery recharging systems.

Dr. Guillermo Velasco-Quesada
Dr. Herminio Martínez-García
Guest Editors

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Keywords

  • Grid integration
  • Sizing of grid-connected PV systems
  • Modeling of grid-connected PV systems
  • DC–DC and DC–AC converters
  • MPPT and GMPPT control
  • Anti-islanding protection
  • Power quality improvement

Published Papers (2 papers)

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Research

24 pages, 4656 KiB  
Article
Estimation of the Output Characteristic of a Photovoltaic Generator under Power Curtailment and Considering Converter Losses
by Donghui Ye, Jose Miguel Riquelme-Dominguez and Sergio Martinez
Electronics 2022, 11(10), 1544; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11101544 - 12 May 2022
Cited by 1 | Viewed by 1237
Abstract
Power curtailment methods contribute to the frequency stability of power systems with a high share of photovoltaic generation. This paper focuses on an online strategy that estimates the output characteristic of a photovoltaic generator while operating in power curtailment mode by using voltage [...] Read more.
Power curtailment methods contribute to the frequency stability of power systems with a high share of photovoltaic generation. This paper focuses on an online strategy that estimates the output characteristic of a photovoltaic generator while operating in power curtailment mode by using voltage and current measurements and the nonlinear least-squares curve-fitting. In contrast to previously reported methods, this work introduces an improvement consisting of the estimation of the power losses of the electronic converter that connects the photovoltaic panel with the grid. Thus, the impact of a mismatch between the dc-side and the ac-side is reduced. The procedure is tested at different power levels and with fluctuations of irradiance and temperature. The results show that the converter efficiency, expressed as an exponential function with two quadratic equations, is associated with irradiance and temperature. It is also found that the two-stage converter efficiency is mainly affected by the irradiance level when the photovoltaic system operates on the left side of the power-voltage characteristic. In contrast, the temperature level influences the converter efficiency significantly when working on the right side of the maximum power point. The estimated efficiency curves can improve the accuracy of the power curtailment method and can be used for designing the two-stage converter. The effectiveness of the proposed power curtailment method has been tested in a two-stage photovoltaic system through MATLAB/Simulink. Full article
(This article belongs to the Special Issue New Trends in Grid-Connected Photovoltaic Systems)
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18 pages, 5300 KiB  
Article
Roach Infestation Optimization MPPT Algorithm for Solar Photovoltaic System
by Chittaranjan Pradhan, Manoj Kumar Senapati, Nicholas Kakra Ntiakoh and Rajnish Kaur Calay
Electronics 2022, 11(6), 927; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11060927 - 16 Mar 2022
Cited by 15 | Viewed by 2229
Abstract
Solar photovoltaic (PV) power has several advantages such as free availability, absence of rotating parts, can be easily integrated with building architecture, and need little maintenance. However, the PV cell current–voltage (I–V) characteristics are non-linear and power generated from a PV [...] Read more.
Solar photovoltaic (PV) power has several advantages such as free availability, absence of rotating parts, can be easily integrated with building architecture, and need little maintenance. However, the PV cell current–voltage (I–V) characteristics are non-linear and power generated from a PV array depends on solar insolation/irradiation and panel temperature. The extracted PV output power is influenced by the accuracy with which the nonlinear power–voltage (P–V) characteristic curve is traced by the maximum power point tracking (MPPT) controller. In this paper, a bio-inspired roach infestation optimization (RIO) algorithm is proposed to extract the maximum power from the PV system (PVS). To validate the usefulness of the RIO MPPT algorithm, MATLAB/Simulink simulations are performed under varying environmental conditions, for example, step changes in solar irradiance, partial shading, and the presence of system uncertainties and load variation conditions of the PV array. Furthermore, the search performance of the RIO algorithm is examined on different unconstrained benchmark functions, and it is realized that the RIO algorithm has improved search performance in terms of finding the optimal solution and faster convergence characteristics than Particle swarm optimization (PSO). The results demonstrated that the RIO-based MPPT performs remarkably in tracking with high accuracy as the PSO, perturb and observe (P&O), and incremental conductance (IC)-based MPPT schemes. Full article
(This article belongs to the Special Issue New Trends in Grid-Connected Photovoltaic Systems)
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