Hybrid PV/wind system with quinary asymmetric inverter without increasing DC-link number

Oskouei, Aida Baghbany; Banaei, Mohamad Reza; Sabahi, Mehran

doi:10.1016/j.asej.2015.06.008

Cited by 23 publications

(8 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Its chief aims are the stabilization of DC-link voltage, the meticulous administration of real power delivery, and the establishment of a unity power factor at the Point of Common Coupling (PCC). Noteworthy is this method's provision for isolated control and its swift response to dynamic changes, as highlighted in the literature [35].…”

Section: Dc/ac Inverter Control Strategymentioning

confidence: 99%

Synergizing Wind and Solar Power: An Advanced Control System for Grid Stability

Boubii,

Kafazi,

Bannari

et al. 2024

Sustainability

View full text Add to dashboard Cite

In response to the escalating global energy crisis, the motivation for this research has been derived from the need for sustainable and efficient energy solutions. A gap in existing renewable energy systems, particularly in terms of stability and efficiency under variable environmental conditions, has been recognized, leading to the introduction of a novel hybrid system that combines photovoltaic (PV) and wind energy. The innovation of this study lies in the methodological approach that has been adopted, integrating dynamic modeling with a sophisticated control mechanism. This mechanism, a blend of model predictive control (MPC) and particle swarm optimization (PSO), has been specifically designed to address the fluctuations inherent in PV and wind power sources. The methodology involves a detailed stability analysis using Lyapunov’s theorem, a critical step distinguishing this system from conventional renewable energy solutions. The integration of MPC and PSO, pivotal in enhancing the system’s adaptability and optimizing the maximum power point tracking (MPPT) process, improves control efficiency across key components like the doubly fed induction generator (DFIG), rectifier-sourced converter (RSC), and grid-side converter (GSC). Through rigorous MATLAB simulations, the system’s robust response to changing solar irradiance and wind velocities has been demonstrated. The key findings confirm the system’s ability to maintain stable power generation, underscoring its practicality and efficiency in renewable energy integration. Not only has this study filled a crucial gap in renewable energy control systems, but it has also set a precedent for future research in sustainable energy technologies.

show abstract

Section: Dc/ac Inverter Control Strategymentioning

confidence: 99%

Synergizing Wind and Solar Power: An Advanced Control System for Grid Stability

Boubii,

Kafazi,

Bannari

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…The primary goals of this scheme include DC-link voltage regulation, precise control of real power injection, and achieving a unity power factor at the Point of Common Coupling (PCC). This control approach stands out due to its capacity for decoupled control and its rapid dynamic response, as documented in reference [49].…”

Section: Dc/ac Inverter Controllermentioning

confidence: 99%

Integrated Control and Optimization for Grid-Connected Photovoltaic Systems: A Model-Predictive and PSO Approach

Boubii,

El Kafazi,

Bannari

et al. 2023

Energies

View full text Add to dashboard Cite

To propel us toward a greener and more resilient future, it is imperative that we adopt renewable sources and implement innovative sustainable solutions in response to the escalating energy crisis. Thus, renewable energies have emerged as a viable solution to the global energy crisis, with photovoltaic energy being one of the prominent sources in this regard. This paper represents a significant step in the desired direction by focusing on detailed, comprehensive dynamic modeling and efficient control of photovoltaic (PV) systems as grid-connected energy sources. The ultimate goal is to enhance system reliability and ensure high power quality. The behavior of the suggested photovoltaic system is tested under varying sun radiation conditions. The PV system is complemented by a boost converter and a three-phase pulse width modulation (PWM) inverter, with MATLAB software employed for system investigation. This research paper enhances photovoltaic (PV) system performance through the integration of model-predictive control (MPC) with a high-gain DC–DC converter. It improves maximum power point tracking (MPPT) efficiency in response to the variability of solar energy by combining MPC with the traditional incremental conductance (IN-C) method. Additionally, the system incorporates a DC–AC converter for three-phase pulse width modulation, which is also controlled by predictive control technology supported by Particle Swarm Optimization (PSO) to further enhance performance. PSO was selected due to its capability to optimize complex systems and its proficiency in handling nonlinear functions and multiple variables, making it an ideal choice for improving MPC control performance. The simulation results demonstrate the system’s ability to maintain stable energy production despite variations in solar irradiation levels, thus highlighting its effectiveness.

show abstract

“…Figure 2 show the equivalent series of solar panels which describing of the power output of the PV array based on solar radiation and temperature changes. The power output in this model is calculated as shown in (1):…”

Section: Photovoltaic Modelmentioning

confidence: 99%

“…Renewable energy systems can supply power either directly to the electricity grid or to isolated loads. A stand-alone system with wider application in remote areas far from the utility grid [1]- [6].…”

Section: Introductionmentioning

confidence: 99%

Optimizing of the installed capacity of hybrid renewable energy with a modified MPPT model

Utomo

Setiawan

Fajar

et al. 2022

IJECE

View full text Add to dashboard Cite

The lack of wind speed capacity and the emission of photons from sunlight are the problem in a hybrid system of photovoltaic (PV) panels and wind turbines. To overcome this shortcoming, the incremental conductance (IC) algorithm is applied that could control the converter work cycle and the switching of the buck boost therefore maximum efficiency of maximum power point tracking (MPPT) is reached. The operation of the PV-wind hybrid system, consisting of a 100 W PV array device and a 400 W wind subsystem, 12 V/100 Ah battery energy storage and LED, the PV-wind system requires a hybrid controller for battery charging and usage and load lamp and it’s conducted in experimental setup. The experimental has shown that an average increase in power generated was 38.8% compared to a single system of PV panels or a single wind turbine sub-system. Therefore, the potential opportunities for increasing power production in the tropics wheather could be carried out and applied with this model.

show abstract

Hybrid PV/wind system with quinary asymmetric inverter without increasing DC-link number

Cited by 23 publications

References 18 publications

Synergizing Wind and Solar Power: An Advanced Control System for Grid Stability

Synergizing Wind and Solar Power: An Advanced Control System for Grid Stability

Integrated Control and Optimization for Grid-Connected Photovoltaic Systems: A Model-Predictive and PSO Approach

Optimizing of the installed capacity of hybrid renewable energy with a modified MPPT model

Contact Info

Product

Resources

About