A neural network based maximum power point tracker with KY converter for photovoltaic system on a moving vehicle

Kurniawan, Akbar; Haryanto, Eko; Masroeri, Agoes A.

doi:10.1109/icamimia.2015.7508014

Cited by 9 publications

(5 citation statements)

References 7 publications

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“…It includes a parallel diode, an ideal current source, and series and parallel resistances 33,34 . The basic equations are used to compute the voltage–current characteristics of solar modules.…”

Section: Configuration Of Single‐phase Grid‐tied Photovoltaic Systemmentioning

confidence: 99%

Enhancing performance of interleaved KY converter control in single phase grid‐tied PV systems: A hybrid approach

Shobha,

Narmadhai

2024

Optim Control Appl Methods

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This paper proposes a hybrid COA‐QNN approach for an interleaved KY converter with closed‐loop control for a single‐phase grid‐connected photovoltaic (PV) system. The proposed strategy combines both Cheetah Optimizer algorithm (COA) and Quantum Neural Network (QNN), and it is commonly named the COA‐QNN technique. The interleaved KY converter is connected in the converter side. The primary goal of the COA‐QNN technique is to enhance PQ while maximizing PV electricity being transferred to the grid. The proposed COA is utilized to identify the optimal closed‐loop controller enhancements for on‐grid solar photovoltaic systems. The QNN is used to predict the optimal control parameter. The PV‐interleaved KY converter is managed by a predictive control mechanism to carry out both tasks of PQ enhancement. By then the COA‐QNN technique is implemented on the MATLAB platform and compared with existing methods. Finally, the proposed method shows better results in all methods, such as GWO, FF optimization and combined GWO‐FF.

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Section: Configuration Of Single‐phase Grid‐tied Photovoltaic Systemmentioning

confidence: 99%

Enhancing performance of interleaved KY converter control in single phase grid‐tied PV systems: A hybrid approach

Shobha,

Narmadhai

2024

Optim Control Appl Methods

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“…The fifth step is to calculate the number of required anode. The required number of anode can be calculated using equation (4). The seventh step is to calculate the required protection voltage.…”

Section: Determine Number Of Thermoelectric Generatormentioning

confidence: 99%

“…As the cost of generator fuel oil and battery is expensive, the use of renewable or sustainable waste energy for the ship application such as solar energy [3][4][5][6][7][8] or even sound in engine room [9] is preferred. One example of ICCP with renewable energy source is in [10] which utilizing voltaic cell with sea water as the electrolyte.…”

mentioning

confidence: 99%

Experimental Study of Thermoelectric Generator as Electrical Source of Impressed Current Cathodic Protection for Ship Hull

Kurniawan

Fitri²,

Rahman³

2017

IJMEIR

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Abstractimpressed current cathodic protection (ICCP) is a method to protect metallic material such as ship hull from corrosion by using electric current. In this research, a prototype of thermoelectric generator is developed in order to supply the ICCP system. This thermoelectric generator is planned to utilize the exhaust gas from main engine of the ship. Method carried in this research is assembling the prototype of thermoelectric generator followed by conducted experiment to observe the potential energy of the prototype. After that, the required number of thermoelectric generator is calculated to supply the ICCP system to protect the ship from corrosion. The object in this research is live fish carrier "Wellboat" which has 396.08 m 2 wetted area. The required voltage and current to protect the ship from corrosion for three years are 16.67 Volt and 2.66 Ampere. Based on the experiment, a prototype of thermoelectric generator can generate 0.34 Ampere and 4.43 Volt, causing the need of 8 series and 4 parallels connection. It can be concluded that the corrosion rate on the ship hull can be decelerated by using impressed current cathodic protection method without needing additional cost or fuel consumption to produce electric energy.

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“…Existing controller circuits such as a proportional integral controller do not provide better control results. 20 Hence the nonlinear nature of renewable energy sources, the researchers are always facing challenges in designing the converters, controllers, and batteries while integrating the renewable energy to receive the uninterrupted power supply. So, forecasting wind energy is important to meet out these challenges.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, sometimes the controller creates some issues while controlling output voltage ripple that reduces converter peak overshoot and the settling time. Existing controller circuits such as a proportional integral controller do not provide better control results 20 …”

Section: Introductionmentioning

confidence: 99%

KY converter with fuzzy logic controller for hybrid renewable photovoltaic/wind power system

Pushpavalli

Swaroopan²

2020

Trans Emerging Tel Tech

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Smart grid includes power generation, transmission, distribution, information integration, metering, management, and protection. All these domains are interconnected through smarter communication. Smarter communication is possible since it's a two-way flow of information by wireless and wired communication. Generation domain of smart grid consists of renewable variables (wind solar), renewable nonvariables (hydro biomass, geothermal, pump storage), and nonrenewable nonvariables (nuclear, coal, gas). Wind and solar energy, are thought to be the principle properties of sustainable power source for power generation and are developing at a quicker rate throughout a previous couple of decades. In numerous tasks, high voltage conversion converters have a basic influence in boosting the low output voltages of green power facilities to the high voltage is difficult due to voltage ripple and total harmonic distortion. This article comprises novel coordination of KY converter (KYC) with fuzzy logic for photovoltaic (PV) and wind power system. A many inputs KYC for grid-connected hybrid PV/wind power system by extracting as much renewable energy as possible to using the fuzzy logic controller (FLC) are introduced. The main goal of the process is to follow the greatest force from the sustainable power sources and to overhaul the precision of the absolute system by increasing power factor. With the motivation behind concentrate the greatest power, a FLC has been embraced, right now. Wind energy is rectified and then both PV and wind outputs are given to the FLC. The implementation is done using MATLAB/SIMULINK.

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A neural network based maximum power point tracker with KY converter for photovoltaic system on a moving vehicle

Cited by 9 publications

References 7 publications

Enhancing performance of interleaved KY converter control in single phase grid‐tied PV systems: A hybrid approach

Enhancing performance of interleaved KY converter control in single phase grid‐tied PV systems: A hybrid approach

Experimental Study of Thermoelectric Generator as Electrical Source of Impressed Current Cathodic Protection for Ship Hull

KY converter with fuzzy logic controller for hybrid renewable photovoltaic/wind power system

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