Photovoltaic-Based Interconnected-Modified DC-Nanogrids within an Open Energy Distribution System

Ebrahim, Essamudin A.; Maged, Nourhan A.; Abdel-Rahim, Naser; Bendary, Fahmy

doi:10.1109/accs-peit48329.2019.9062843

Cited by 4 publications

(7 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The standard PWM method should be updated to be able to be used in the SBI's shoot-through condition. The improved approach has been shown and described in detail in [29] - [30]. Similar studies can be found in [31].…”

Section: Pwm Control Techniquementioning

confidence: 74%

“…The control signal that achieves this process is the DC voltage level (V st ) which directly effects on triggering the switch (S). The relations between the output DC voltage (V dc ),V 𝑎𝑐 , D, and the controlled signal voltage (V st ) are determined according to the following equations [17], [30] :…”

Section: Model Reference Closed-loop Dc-link Voltage Controlmentioning

confidence: 99%

“…Also the system has a very small value of an offset tolerance to compensate for the DC output voltage and minimize the error. As a result, the output voltage will remain also constant according to the relation between the DC and AC output voltages [29].…”

Section: D)𝑉 𝑔mentioning

confidence: 99%

“…The objective, based on the preceding evaluation, is to improve the ac output voltage to the appropriate level while also maximizing the power level of the photovoltaic (PV) modules. The publication of previous research explores a proposed strategy for a sophisticated closed-loop control system for SBI in an autonomous nanogrid within an open energy distribution system (OEDS) [16], [17]. The proposed technique improves inverter performance by boosting the AC output voltage of the inverter to a needed value (i.e.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Real-Time Implementation for the Robust Controller of the Switched Boost Inverter within an Autonomous Modified Nanogrid

Ebrahim,

Maged

2024

International Journal of Electrical Engineering and Computer Science

Self Cite

View full text Add to dashboard Cite

SBI stands for switched-boost inverter and is a single-stage power converter used to connect low-power sources, such as solar photovoltaic (PV) arrays within a modified nanogrid, to loads. Despite its many benefits, such as the fact that it does not require expensive sophisticated dead-time circuitry, its duty ratio is limited to between 0 and 0.5. As a result, this publication is a contribution towards improving the SBI's performance for use in a modified nanogrid. Furthermore, it also presents a revolutionary strategy for a simple closed-loop control technique that overcomes the majority of inverter shortcomings and system nonlinearity. The suggested robust controller uses a metaheuristic optimization technique, called gorilla troops optimization (GTO), to optimize the performance of this controller. The robustness of the suggested controller is tested against the sudden change of the nanogrid input voltage (i.e., PV-voltage), modulation index of the inverter, and the step-change in DC-link output voltage of the inverter. The test results obtained from Matlab/Simulink software are compared with particle swarm optimization (PSO) – as another optimization algorithm. Furthermore, the proposed system is experimentally implemented with OPAL RT-4510v real-time hardware in the loop (HIL), rapid control prototyping, OP-8660 HIL controller and data acquisition platform.

show abstract

Section: Pwm Control Techniquementioning

confidence: 74%

Section: Model Reference Closed-loop Dc-link Voltage Controlmentioning

confidence: 99%

Section: D)𝑉 𝑔mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Real-Time Implementation for the Robust Controller of the Switched Boost Inverter within an Autonomous Modified Nanogrid

Ebrahim,

Maged

2024

International Journal of Electrical Engineering and Computer Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…As an effective way to the DG, photovoltaic (PV) systems have been attracting considerable interest due to easy attainability and high efficiency in DC microgrids as well. As a result of the rapid development of commercially mature PV systems, widespread applications of small-sized PV grids has been emerging as nanogrid-term which is categorized from 1.5 kW up to 5.0 kW [10]. These small-sized grids allow for the incorporation of developmental activities such as night lighting, irrigation, residential appliances, remote areas, electric vehicles, military, etc.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Aided Sensorless Control Approach for PV Converters in DC Nanogrids

2021

View full text Add to dashboard Cite

In a microgrid, photovoltaic (PV) systems are broadly preferred with energy storage systems (ESSs) that form small-sized direct current (DC) microgrids. They are also termed local grids i.e., DC nanogrids, which feed the local consumers to some extent in the next decades. Therefore, ESSs enable the DC nanogrids more flexible and stable by preserving the intermittent nature of renewables. Yet still, feeding local consumers smoothly with PV-battery-based systems is exceedingly a considerable theme. In this context, proper control of power electronics converters as the main carrier of the system is essential. Besides, the rise of PV applications challenges possible issues upon integrating the conventional grid. Emerging possible issues and the ways of dealing with them have been developing day by day. Thus, it is inevitable that innovative methods will be put into practice. To achieve this goal, the deep learning aidedsensorless control approach is adopted. To validate the proposed control method, the training phase is presented elaborately with the help of the experimental setup of a DC nanogrid. From the obtained results, it is concluded that the deep learning-based approach reaches very small error values, captures the system dynamics with a high accuracy rate successfully, and allows the possibility to apply practically.INDEX TERMS Deep neural network (DNN), sensorless control, deep supervised learning, photovoltaics, power electronic converters, DC microgrid, DC nanogrid.

show abstract

Open Energy Distribution System-Based on Photo-voltaic with Interconnected- Modified DC-Nanogrids

Ebrahim¹,

Maged²,

Abdel-Rahim³

et al. 2021

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

Photovoltaic-Based Interconnected-Modified DC-Nanogrids within an Open Energy Distribution System

Cited by 4 publications

References 11 publications

Real-Time Implementation for the Robust Controller of the Switched Boost Inverter within an Autonomous Modified Nanogrid

Real-Time Implementation for the Robust Controller of the Switched Boost Inverter within an Autonomous Modified Nanogrid

Deep Learning-Aided Sensorless Control Approach for PV Converters in DC Nanogrids

Open Energy Distribution System-Based on Photo-voltaic with Interconnected- Modified DC-Nanogrids

Contact Info

Product

Resources

About