Modeling of wind energy system with MPPT control

Soetedjo, Aryuanto; Lomi, Abraham; Mulayanto, Widodo Puji

doi:10.1109/iceei.2011.6021836

Cited by 57 publications

(16 citation statements)

References 6 publications

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“…p C is the measure of the efficiency of the entire wind turbine system which is the ratio of true electrical power generated by the wind turbine to the total wind turbine power at specific wind speed. The expression for the tip speed ratio (  ) is expressed [7] in (10) Therefore, true power extracted by a wind turbine [8] can be given by (11) as…”

Section: B Modeling Of Wind Systemmentioning

confidence: 99%

Closed loop controlled boost converter using a pid controller for solar wind power system installation

Sharma¹,

Kumar²,

Sharma³

et al. 2018

IJET

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Deployment of renewable energy resources on distributed energy system has reduced the reliance and transmission losses from the utility grid. It also helps to improve the system stability near the load center. Solar and wind are the two highly utilized green energy resources in present scenario. However, the fluctuations of solar irradiation, temperature, wind velocity are the preeminent issue for this type of systems which affects the efficiency of the solar and wind energy system. It requires the interfacing unit to stabilize the output voltage. The proposed work deals with the close loop boost converter with PID controller, which is used to attain a stabilized voltage despite of parameter changes and load disturbances. Designed system will help to analyze the better stable output voltage with efficient system having minimum fluctuation.

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Section: B Modeling Of Wind Systemmentioning

confidence: 99%

Closed loop controlled boost converter using a pid controller for solar wind power system installation

Sharma¹,

Kumar²,

Sharma³

et al. 2018

IJET

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show abstract

“…Larger step-size can generate faster responses and more oscillations around the MPP which can represent low efficiency; on the other hand, smaller stepsize improves efficiency but reduces the convergence speed [5]. The initialization of parameters is also an important aspect of this technique, some reported works suggest to run a related algorithm to find the suitable values and then run the P&O algorithm [10].…”

Section: Hill-climb Search (Hcs) Controlmentioning

confidence: 99%

“…Some techniques need an accurate knowledge of the turbine parameters and the measurement of the wind speed [9]; some of them do not require the measurement of the wind system, but do implement an estimator [10]; some recent techniques do not require to measure any parameter, normally they are based in conventional algorithms improved by intelligent techniques like fuzzy logic, neural networks or genetics algorithms [11].…”

Section: Introductionmentioning

confidence: 99%

Overall Description of Wind Power

Lemus

Serna

2014

ing.cienc.

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“…Its availability is sporadic and should be complemented by other power sources like batteries in most of cases. [6][7][8] Due to intermittent nature of the renewable energy resources, system using single renewable energy source leads to oversized components and unnecessary operational and lifecycle cost. 9 Two or more forms of energy resources can be combined to form a hybrid energy system that complements the drawbacks in each individual energy resources.…”

mentioning

confidence: 99%

“…58 Maximum power output of the wind turbine is difficult to maintain at all wind speed conditions due to nonline ar characteristics of the wind turbine. 6,59 So, there are various control strategies to track the maximum power of the wind turbine systems. Some techniques track maximum power by observing the change in power produced while some techniques need mechanical sensors that measure the wind speed to calculate the value of generator speed that forces it to operate in maximum power point thus they are sensitive to modeling uncertainties and become insensitive in some cases.…”

mentioning

confidence: 99%

Mathematical modeling of hybrid renewable energy system: A review on small hydro-solar-wind power generation

Bhandari

Poudel

Lee

et al. 2014

Int. J. of Precis. Eng. and Manuf.-Green Tech.

239

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Harnessing energy from alternative energy source has been recorded since early history. Renewable energy is abundantly found anywhere, free of cost and has non-polluting characteristics. However, these energy sources are based on the weather condition and possess inherited intermittent nature, which hinders stable power supply. Combining multiple renewable energy resources can be a possible solution to overcome defects, which not only provides reliable power but also leads to reduction in required storage capacity. Although an oversized hybrid system satisfies the load demand, it can be unnecessarily expensive. An undersized hybrid system is economical, but may not be able to meet the load demand. The optimal sizing of the renewable energy power system depends on the mathematical model of system components. This paper summarizes the mathematical modeling of various renewable energy system particularly PV, wind, hydro and storage devices. Because of the nonlinear power characteristics, wind and PV system require special techniques to extract maximum power. Hybrid system has complex control system due to integration of two (or more) different power sources. The complexity of system increases with maximum power point tracking (MPPT) techniques employed in their subsystems. This paper also summarizes mathematical modeling of various MPPT techniques for hybrid renewable energy systems.

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Modeling of wind energy system with MPPT control

Cited by 57 publications

References 6 publications

Closed loop controlled boost converter using a pid controller for solar wind power system installation

Closed loop controlled boost converter using a pid controller for solar wind power system installation

Overall Description of Wind Power

Mathematical modeling of hybrid renewable energy system: A review on small hydro-solar-wind power generation

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