Artificial neural network based unity power factor corrector for single phase DC-DC converters

Attia, Hussain

doi:10.11591/ijece.v10i4.pp4145-4154

Cited by 6 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This component converts the PV-produced variable DC voltage into a fixed voltage that is proportionate to the load requirements. The MPPT controller simultaneously works to achieve MPP conversion from PV and provide a pulse width modulation (PWM) signal to drive the DC-DC converter's switching mechanism [22], [23], [25], [27], [28], [32], [38], [39], [42], [43], [52], [77], [81], [93], [94], [98], [108], [112], [121]- [146]. These two processes happen simultaneously.…”

Section: Structure Of a Solar Photovoltaic Energy Harvesting Systemmentioning

confidence: 99%

Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review

Sutikno

Purnama

Aprilianto

et al. 2022

IJEECS

View full text Add to dashboard Cite

Solar photovoltaic (PV) power generation has become increasingly important as a renewable source of energy due to the many benefits it offers. These benefits include the ease with which it can be allocated; the absence of noise; the longer life; the absence of pollution; the shorter amount of time required for installation; the high mobility and portability of its parts; and the capability of its output power to meet peak load requirements. DC-DC converters are typically incorporated into solar energy harvesting systems because they allow for the more efficient exploitation of solar cells. One of the difficulties is in the selection of a suitable converter since this has an effect on the operation of the PV system. This study discusses the modernisation of several different DC-DC converter topologies for solar energy harvesting systems. Some of these topologies are boost, buck-boost, single-ended primary-inductance converter (SEPIC), Cuk, and flyback. The topologies have been compared so that detailed information on the complexity of the hardware, the cost of implementation, the efficiency of the energy transfer elements, the tracking efficiency, and the efficiency of the converters can be provided. This paper will be useful as a handy reference in choosing the best converter topology for solar energy harvesting applications.

show abstract

Section: Structure Of a Solar Photovoltaic Energy Harvesting Systemmentioning

confidence: 99%

Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review

Sutikno

Purnama

Aprilianto

et al. 2022

IJEECS

View full text Add to dashboard Cite

show abstract

“…The training dataset was created offline by resolving these nonlinear equivalences using the Newton-Raphson technique. To execute this procedure, MATLAB design software was exploited, because its implementation is easier and faster [29]. The set of input ranges was accessible in the NN process, and step-by-step designs were created in the forwarding track to determine the output design.…”

Section: Nn Processmentioning

confidence: 99%

Bidirectional Converter for Plug-In Hybrid Electric Vehicle On-Board Battery Chargers with Hybrid Technique

Anjinappa

Prabhakar

Lai

2022

WEVJ

View full text Add to dashboard Cite

Recently, Plug-in Hybrid Electric Vehicles (PHEVs) have gathered a lot of attention by integrating an electric motor with an Internal Combustion Engine (ICE) to minimize fuel consumption and greenhouse gas emissions. The On-Board Chargers (OBCs) are selected in this research because they are limited by dimensions and mass, and also consume low amounts of power. The Equivalent Series Resistance (ESR) of a filter capacitor is minor, so the zero produced by the ESR is positioned at a high frequency. In this state, the system magnitude gradually drops, causing a ripple in the circuit that generates a harmful impact on the battery’s stability. To improve the stability of the system, a Neural Network with an Improved Particle Swarm Optimization (NN–IPSO) control algorithm was developed. This study establishes an isolated converter topology for PHEVs to preserve battery-charging functions through a lesser number of power electronic devices over the existing topology. This isolated converter topology is controlled by NN–IPSO for the PHEV, which interfaces with the battery. The simulation results were validated in MATLAB, indicating that the proposed NN–IPSO-based isolated converter topology minimizes the Total Harmonic Distortion (THD) to 3.69% and the power losses to 0.047 KW, and increases the efficiency to 99.823%, which is much better than that of the existing Switched Reluctance Motor (SRM) power train topology.

show abstract

“…We address the issue in two stages: i) check that there are controllers available between actors and partners for unspecified changes; ii) If no accessible controller is found, start another controller to check the switches. The connection cycle is similar to the redefinition cycle, for example, the most important requirement is the heaviest steel switches and upper limit controllers [28].…”

Section: Failovermentioning

confidence: 99%

Optimization of open flow controller placement in software defined networks

Mahdawi

Salih

2021

IJECE

View full text Add to dashboard Cite

The world is entering into the era of Big Data where computer networks are an essential part. However, the current network architecture is not very convenient to configure such leap. Software defined network (SDN) is a new network architecture which argues the separation of control and data planes of the network devices by centralizing the former in high level, centralised devices and efficient supervisors, called controllers. This paper proposes a mathematical model that helps optimizing the locations of the controllers within the network while minimizing the overall cost under realistic constrains. Our method includes finding the minimum cost of placing the controllers; these costs are the network latency, controller processing power and link bandwidth. Different types of network topologies have been adopted to consider the data profile of the controllers, links of controllers and locations of switches. The results showed that as the size of input data increased, the time to find the optimal solution also increased in a non-polynomial time. In addition, the cost of solution is increased linearly with the input size. Furthermore, when increasing allocating possible locations of the controllers, for the same number of switches, the cost was found to be less.

show abstract

Artificial neural network based unity power factor corrector for single phase DC-DC converters

Cited by 6 publications

References 14 publications

Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review

Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review

Bidirectional Converter for Plug-In Hybrid Electric Vehicle On-Board Battery Chargers with Hybrid Technique

Optimization of open flow controller placement in software defined networks

Contact Info

Product

Resources

About