Comparison of maximum power point tracking methods for medium to high power wind energy systems

Heydari, Mojtaba; Smedley, K.M.

doi:10.1109/epdc.2015.7330493

Cited by 34 publications

(13 citation statements)

References 12 publications

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“…The operating point of the turbine should be maintained at the optimal value λ op to extract the maximum available power from the wind system at a given speed [36][37][38]. The optimal torque control algorithm is one of the MPPT methods and it is used to adapt the rotor speed based on the optimal torque at various wind speeds.…”

Section: Mppt Algorithmmentioning

confidence: 99%

Hybrid cuckoo search algorithm and grey wolf optimiser‐based optimal control strategy for performance enhancement of HVDC‐based offshore wind farms

Mahmoud

Hasanien

Besheer

et al. 2020

IET Generation, Transmission & Distribution

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Section: Mppt Algorithmmentioning

confidence: 99%

Hybrid cuckoo search algorithm and grey wolf optimiser‐based optimal control strategy for performance enhancement of HVDC‐based offshore wind farms

Mahmoud

Hasanien

Besheer

et al. 2020

IET Generation, Transmission & Distribution

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“…9; this method requires prior knowledge about characteristics of the wind turbine and the WSR. After getting this data, the maximum power [14] is obtained by performing the simulation for the wind turbine [17]. Fig.…”

Section: Power Signal Feedbackmentioning

confidence: 99%

“…Many MPPT techniques have been studied in the literatures [14,15] and classified based on whether they use a sensor or without sensors [16] and some of them are based on directly controlled and indirectly controlled [17] methods for tuning the turbine speed to achieve maximum power. Some methods used wind speed [18] measuring instrument and few of them not used the measurement of wind speed [19].…”

Section: Introductionmentioning

confidence: 99%

Review on control techniques and methodologies for maximum power extraction from wind energy systems

Kumar

Saravanan

Padmanaban

et al. 2018

IET Renewable Power Generation

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This review study focuses on various methods and technologies used in past and present for obtaining maximum output power from a wind energy conversion system. There are plenty of solution for maximum power point (MPP), but the problem lies in the effective choice made among them and it needs the expert knowledge on every technique for picking up the best MPP method as every method on its own has some advantages and disadvantages. A comparison has been made among various MPP methods in terms of convergence time, efficiency, training, complexity and wind measurement. Here, different MPP tracking (MPPT) algorithms are classified based on wind speed measurement (WSR) and without WSR models. In this study, from the literature, a novel maximum electrical power tracking (MEPT) and maximum mechanical power tracking (MMPT) methods are compared with state-of-the-art MPPT algorithms. On basis of the results obtained from the literature available, the MEPT algorithm has fast convergence rate of 15 ms; on the other hand, optimal relation-based method is having large convergence rate of 364 ms and less efficient. A case study has been considered for performance validation, and MEPT and MMPT are having a good response for dynamic variation in wind speed.

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“…The two broad classes of MPPT techniques used in wind energy conversion systems are 1) sensor-based methods [5][6][7][8][9][10] and 2) sensorless techniques [11][12][13][14]. Sensor based topologies use some mechanical sensors like anemometer for wind speed measurement and tacho-generator for rotor speed measurements whereas the later one makes use of electrical sensors for voltage, current or power sensing.…”

Section: Mppt Classificationsmentioning

confidence: 99%

A Review of MPPT Algorithms Employedin Wind Energy Conversion Systems

Sachan

Gupta

Samuel

2017

JGE

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The depleting nature of fossil fuels and the environmental threats have resulted in the emergence of renewable energy sources (RESs) as alternative and accessible energy resources. Amongst various RESs, wind energy is one of the fastest growing distributed energy resources because of its zero-carbon emission and cost efficient generation. Although wind energy is plentiful, it is of intermittent nature, i.e., the wind speed is not constant throughout. So, the strategy followed is to harness maximum output power from this variable wind as when it is available, and various algorithms for maximum power operating point tracking (MPPT) have been proposed and implemented successfully. However, choosing an exact MPPT algorithm for a particular application requires a high degree of skill as each algorithm has its pros and cons. This paper presents a review of various MPPT algorithms suggested in the literature.

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Comparison of maximum power point tracking methods for medium to high power wind energy systems

Cited by 34 publications

References 12 publications

Hybrid cuckoo search algorithm and grey wolf optimiser‐based optimal control strategy for performance enhancement of HVDC‐based offshore wind farms

Hybrid cuckoo search algorithm and grey wolf optimiser‐based optimal control strategy for performance enhancement of HVDC‐based offshore wind farms

Review on control techniques and methodologies for maximum power extraction from wind energy systems

A Review of MPPT Algorithms Employedin Wind Energy Conversion Systems

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