Fuzzy Logic Based Maximum Power Point Tracking Using Boost Converter for Solar Photovoltaic System in Kuwait

El-Sayed, Mohamed A.; Leeb, Steven B.

doi:10.24084/repqj13.220

Cited by 8 publications

(10 citation statements)

References 6 publications

(23 reference statements)

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“…Recently, there is an increasing interest in installing gridconnected renewable resources such as wind, solar and tide [1][2][3]. This trend is attributed to economic and technical benefits of distributed generation DGs in smart grids [4].…”

Section: Introductionmentioning

confidence: 99%

“…This trend is attributed to economic and technical benefits of distributed generation DGs in smart grids [4]. On the other hand, DGs require efficient power conditioning converters to adjust their duty cycles to obtain stable MPP under different environmental conditions [1,2]. It should be noted that wind and solar energy are not only intermittent but also are hardly predictable resources.…”

Section: Introductionmentioning

confidence: 99%

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Smart Grid Operation with Hybrid Renewable Resources and Electric Vehicle

El-Sayed¹

2018

REPQJ

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The utilization of renewable energy resources will significantly increase to achieve clean and sustainable electricity generation. The management of the continuous growth share of variable renewable resources, integration of electric vehicles (EVs) and regulation of grid frequency require effective communication facilities of recent smart grids. In this respect, smart converters can provide efficient power conditioning devices to extract maximum power from renewable resources. In addition, the batteries of EVs could be used as distributed storage and discharge power back into the grid to compensate power deficit and flactuation. Modeling and controlling of the hybrid resources within smart grid were carried out in this paper. The smart converter is switched to track the maximum power point MPPT of the solar panels. In addition, the pitch angle control and DFIG regulation are used to extracte the maximum power under different wind speed and tidal stream velocities. The deployment of EVs can compensate power fluctuations and regulate the frequency deviations in the grid based on the proposed PID controller. In this paper, the integral minimization of time-weighted absolute error (ITAE) is used for on-line tuning of the PID controller parameters. Using Matlab/Simulink package, the smart grid is modeled and simulated using the weather data of Kuwait and then the grid performance is assessed under system disturbances and load excursions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Smart Grid Operation with Hybrid Renewable Resources and Electric Vehicle

El-Sayed¹

2018

REPQJ

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“…So, there are many investigations are proposed for this purpose such as (Abdelsalam et al, 2011;Jain and Agarwal, 2007;Kok Soon et al, 2013;Kamarzaman and Tan, 2014;Sera et al, 2013;Chun and Kwasinski, 2011;Huynh et al, 2013;Hohm and Ropp, 2003;Sher et al, 2015;Salam et al, 2013;Ishibashi et al, 2008;Chegaar et al, 2003;Faranda and Leva, 2008;López-Lapeña et al, 2010;Khezzar et al, 2009;Simjee and Chou, 2008;Dondi et al, 2008;Walker, 2001;Ma et al, 2013;Roman et al, 2006;Bahgat et al, 2005;El-Sayed and Leeb, 2014;Enslin et al, 1997;Noguchi et al, 2002). The simplest methods (open circuit voltage method and short circuit method are presented) in (Enslin et al, 1997;Noguchi et al, 2002) which are easy in implementation, but these methods have less accuracy.…”

Section: Introductionmentioning

confidence: 99%

“…The MPP estimation process can be carried out by using Soft Computing (SC) (Salam et al, 2013). The most common SC-MPP algorithms are the Artificial Neural Network (ANN) and Fuzzy Logic (FL) (Bahgat et al, 2005;El-Sayed and Leeb, 2014). Soft computing algorithms are more efficient than IC and P&O, but they need large data for training and periodic tuning.…”

Section: Introductionmentioning

confidence: 99%

Accurate modeling and maximum power point detection of photovoltaic module using a few collected data

Mohamed¹,

Abdelaziz²

2018

Int. J. Eng. Sci. Tech

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Abstract.. This paper presents an algorithm for modeling and Maximum Power Point (MPP) detection of a Photo-Voltaic (PV) module. This algorithm requires less information to get an accurate model and MPP. Open circuit voltage (V OC ) and short circuit current (I SC ) of the PV module are required as inputs data. Both of them can be sampled from a reference PV Panel. A PV model and MPP are estimated via Newton-Raphson (NR) method. Fractional V OC and I SC method and simplified method are used for detecting the starting values of MPP and model parameters of a PV panel respectively. Then, the NR method is applied to calculate the accurate values of MPP and model parameters of it. Determination of MPP enables the PV system to deliver maximum available power. Verification of this algorithm is accomplished through building it in MATLAB. Then, it is tested for different manufacturer modules at different operating conditions.

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“…To improve the performance of these method, one of the ways is the usage of the Fuzzy algorithm. It can be applied in calculation [6], comparison [7] and action [8], [9] processes. But these improvement points are all built only on software, decreasing the influences of partial shades are still insufficient.…”

Section: Because the Chopper Is Open Looped Mppt Algorithmmentioning

confidence: 99%

The Simulation Analysis for Increasing Output Power in Photovoltaic System byUsing Segmented String and Constant Voltage Boost Chopper with MPPT

Li¹,

Kumano²

2017

REPQJ

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Abstract. In photovoltaic (PV) generation system, PV panels can be easily covered by shadows from obstacles around the power station. These shadows cannot cover all of the panels so it called partial shades. In this situation PV system loses its power output very large. This paper gives a software plus hardware's proposal to increase power output of PV system which is covered by partial shades. In this proposal, new array circuit and new chopper are developed and compared with former types in power output level and quality. We conclude newer chopper's power output can decrease the partial shades' loss from the former types' 40% to the newer types' 9%.

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Fuzzy Logic Based Maximum Power Point Tracking Using Boost Converter for Solar Photovoltaic System in Kuwait

Cited by 8 publications

References 6 publications

Smart Grid Operation with Hybrid Renewable Resources and Electric Vehicle

Smart Grid Operation with Hybrid Renewable Resources and Electric Vehicle

Accurate modeling and maximum power point detection of photovoltaic module using a few collected data

The Simulation Analysis for Increasing Output Power in Photovoltaic System byUsing Segmented String and Constant Voltage Boost Chopper with MPPT

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