Single-phase three-wire grid-connected power converter with energy storage for positive grounding photovoltaic generation system

Shen, Jia-Min; Jou, Hurng‐Liahng; Wu, Jinn‐Chang; Wu, Kuen-Der

doi:10.1016/j.ijepes.2013.07.002

Cited by 17 publications

(5 citation statements)

References 15 publications

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“…As a result, thin film technology is more atractive for PV systems with parallel arrays of modules, which is the most simple strategy to reduce the impact of partial shading in energy generation [34, 35]. However, most thin film PV modules require galvanic isolation to prevent module oxidation [36, 37].…”

Section: Partially Shaded Pv Systemsmentioning

confidence: 99%

Digital resonant controller for dual‐stage photovoltaic inverter system with small dc‐bus capacitor

Reiter

Oliveira

Péres

et al. 2016

IET Power Electronics

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Electrolitic capacitors of dc-bus link normally present the lowest mean time between failures among other electronic components of photovoltaic (PV) inverters. This manuscript proposes to increase inverter reliability using a dual-stage PV inverter system with small dc-bus link film capacitors, where a high-gain high-frequency isolated step-up dc-dc converter processes the energy from PV arrays. This converter topology in combination with a digital resonant control strategy for elimination of the low-frequency power ripple in PV array makes possible reducing dc-bus link capacitance without reduction of power extracted from PV system. The proposed control system is explained in detail, including experimental validation. † Lower reduction of efficiency at high temperatures of operation [30, 31]. † Lower redution of energy generation under partial shading compared with crystalline modules [32]. † Lower losses in cables, diodes, and step-up converter for parallel arrays due to higher maximum power point (MPP) voltage [33].

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Section: Partially Shaded Pv Systemsmentioning

confidence: 99%

Digital resonant controller for dual‐stage photovoltaic inverter system with small dc‐bus capacitor

Reiter

Oliveira

Péres

et al. 2016

IET Power Electronics

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“…To overcome these challenges, accurate estimates of solar modules are indispensable for meeting the requirements of PV's promising prospects. Moreover, it can also be helpful in grid management and power dispatch [8].…”

Section: Introductionmentioning

confidence: 99%

A Novel Structure-Adaptive Fractional Bernoulli Grey Model for Solar Photovoltaic Forecasts

Huang

Ding

2022

Mathematical Problems in Engineering

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Since the limitation of carbon emissions, China’s photovoltaic (PV) industry has developed vigorously, while some traditional heavy industries have been violently hit. Therefore, the industrial production data exhibits significant nonlinear and complexity characteristics, which may affect prediction accuracy, thus hindering the corresponding department’s decision-making. Consequently, a novel structure-adaptive fractional Bernoulli grey model is presented in this paper to surmount this toughie, and the core innovations can be summarized as follows. Initially, a novel time function term is utilized to depict the accumulative time effect, which can smoothly represent the dynamic variations and significantly strengthen the robustness of the new model. Besides, the fractional-order accumulation technique, which could effectively improve the predicting accuracy, is employed in the proposed model. Furthermore, the adaptability and generalizability of the proposed model can be enhanced by the self-adaptive parameters optimized by the Particle Swarm Optimization. For illustration and verification purposes, experiments on forecasting the annual output of Photovoltaic modules in China and the annual output of steel in Beijing are compared with a range of benchmarks, including the classic GM (1, 1), conventional econometric technology, and machine learning methods. And the results confirmed that the proposed model is superior to all benchmark models, which indicates that the novel model is indeed suitable for industrial production forecasting.

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“…The utility grid provides the inverter of the input energy. In order to improve this structure, only one inverter can be used between the PV generator and the three-phase grid [26,27]. This simpler structure avoids the disadvantages of using a chopper (extra losses, investment, and maintenance).…”

Section: Introductionmentioning

confidence: 99%

Novel Nonlinear Control and Optimization Strategies for Hybrid Renewable Energy Conversion System

Andaloussi

Raihani

Magri

et al. 2021

Modelling and Simulation in Engineering

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This article deals with a hybrid renewable energy conversion system (HRECS) interconnected to the three-phase grid in association with their power conversion components, i.e., AC/DC rectifier and DC/AC inverter. The HRECS is built around a permanent magnet synchronous wind turbine generator and a photovoltaic energy conversion system. Comparing to traditional control methods, a new multiobjective control strategy is developed to enhance system performances. This makes it possible to account in addition to optimal turbine speed regulation and PV-MPPT and three other important control objectives such as DC-link voltage regulation and the injected reactive power in the grid. To achieve these objectives, a novel control strategy is developed, based on a nonlinear model of the whole “converters-generators” association. The robustness and the stability analysis of the system have been proved using the Lyapunov theory and precisely the backstepping control and the sliding mode control. The performances of the proposed controllers are formally analyzed with respect to standard control solutions illustrated through simulation.

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Single-phase three-wire grid-connected power converter with energy storage for positive grounding photovoltaic generation system

Cited by 17 publications

References 15 publications

Digital resonant controller for dual‐stage photovoltaic inverter system with small dc‐bus capacitor

Digital resonant controller for dual‐stage photovoltaic inverter system with small dc‐bus capacitor

A Novel Structure-Adaptive Fractional Bernoulli Grey Model for Solar Photovoltaic Forecasts

Novel Nonlinear Control and Optimization Strategies for Hybrid Renewable Energy Conversion System

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