Generic maximum power point tracking controller for small-scale wind turbines

Narayana, Mahinsasa; Putrus, Ghanim; Jovanović, Milutin; Leung, Pak Sing; McDonald, S.

doi:10.1016/j.renene.2011.12.015

Cited by 90 publications

(31 citation statements)

References 13 publications

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“…So, simulation studies are important contributions in order to anticipate undesired impacts not only in the stability, but also the in the power quality [16]. Wind turbine operation at variable speed is a convenient option, because of the characteristics to achieve better efficiency at all operational range of wind speeds [17], allowing to improve energy capturing and to reduce the total harmonic distortion (THD) [18]. The technology for wind turbine operation at variable speed based on the use of permanent magnet synchronous generator (PMSG) as an option to conventional synchronous generators has the advantage of higher efficiency, due to null copper losses in the rotor [19] and the exclusion of the gearbox, due to ability to operate at low speed [20].…”

Section: Introductionmentioning

confidence: 99%

Blade pitch control malfunction simulation in a wind energy conversion system with MPC five-level converter

et al. 2016

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This paper is on a wind energy conversion system simulation of a transient analysis due to a blade pitch control malfunction. The aim of the transient analysis is the study of the behavior of a back-to-back multiple point clamped five-level full-power converter implemented in a wind energy conversion system equipped with a permanent magnet synchronous generator. An alternate current link connects the system to the grid. The drive train is modeled by a three-mass model in order to simulate the dynamic effect of the wind on the tower. The control strategy is based on fractional-order control. Unbalance voltages in the DC-link capacitors are lessen due to the control strategy, balancing the capacitor banks voltages by a selection of the output voltage vectors. Simulation studies are carried out to evaluate not only the system behavior, but also the quality of the energy injected into the electric grid. © 2015 Elsevier Ltd. All rights reserved.Keywords: Wind energy; five-level power converter; drive train; fractional-order control; simulation. IntroductionEnvironmental problems such as global warming and habitat preservation have to be faced by the society in nowadays in order to achieve a sustainable development. One of the causes for the global warming is said to be the increase on the level of CO 2 in the atmosphere due to fossil fuel burning [1]. However, nowadays fossil fuel burning is needed for supplying the majority of the energy demand [2]. Research and development is on the way to achieve lower pollutants emissions on conversion of energy to convenient forms of usage in order to achieve a sustainable development. Conversion of energy from renewable energy sources are in nowadays a political attractive option [3] and a wind energy conversion system (WECS) is an economically viable exploitation [4], experiencing a significant expansion [5,6]. Although, onshore WECS deployments are cheaper than offshore ones, new suitable available onshore sites for deployments are becoming scarce, particularly in Europe [7]. So, the offshore WECS is becoming a further attractive option.

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Section: Introductionmentioning

confidence: 99%

Blade pitch control malfunction simulation in a wind energy conversion system with MPC five-level converter

et al. 2016

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“…A hybrid wind-battery system is considered to meet the load demand of a stand-alone Base Telecom Station (BTS).The advantage of battery energy storage for an isolated WECS is discussed in [4].With battery energy storage it is possible to capture maximum power [5] from the available wind. A comparison of several maximum power point tracking(MPPT) algorithms for small wind turbine (WT) is carried out in [6] and [7]. In order to extract maximum power form WECS the turbine needs to be operated at optimal angular speed [7].…”

Section: Introductionmentioning

confidence: 99%

“…A comparison of several maximum power point tracking(MPPT) algorithms for small wind turbine (WT) is carried out in [6] and [7]. In order to extract maximum power form WECS the turbine needs to be operated at optimal angular speed [7]. The BTS load requirement is modeled as a dc load which requires a nominal regulated voltage of 50 V. The WECS is interfaced with the standalone dc load by means of rectification ac-dc and buck converter dc-dc to regulate the load voltage at the desired level.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Logic Control Based Standalone Wind Energy Conversion System For Dc Base Telecom Loads

Babu¹,

Reddy²

2015

International Journal of Innovative Research in Electrical, Ele

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Abstract:The main demand for renewable energy resources is increase in the price and limited availability of conventional energy resources. Available alternative sources of wind energy are neat and clean but due to the intermittent nature it can need back up. In order to ascertain continuous supply of potency felicitous storage technology is utilized as backup. In this paper, the sustainability of a 4-kW hybrid of wind and battery system is investigated for meeting the requisites of a 3-kW stand-alone dc load representing a base telecom station. A charge controller of battery bank charging and discharging depends on Fuzzy logic controller predicated maximum power point tracking and battery state of charge. The mechanical safety and electrical safety of wind energy conversion system is achieved by using pitch control technique. Both the control schemes are integrated and the efficacy is validated by testing it with various load and wind profiles in MATLAB/SIMULINK. [7]. In order to extract maximum power form WECS the turbine needs to be operated at optimal angular speed [7]. The BTS load requirement is modeled as a dc load which requires a nominal regulated voltage of 50 V. The WECS is interfaced with the standalone dc load by means of rectification ac-dc and buck converter dc-dc to regulate the load voltage at the desired level. The proposed control scheme utilizes the turbine maximum power tracking technique with the battery State Of Charge(SOC) limit logic to charge the battery in a controlled manner. The MPPT logic [8] used here actually forces the turbine to operate at optimum Tip Speed Ratio(TSR) and hence is parameter independent. The battery charging current is always continuous with very low ripple thus avoiding harmonic heating. The change over between the modes for battery charging is affected based on the actual value of the SOC. Further it also provides protection against turbine over speed, over loading, and over voltage at the rectifier output by using pitch control [9].

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“…For small wind turbines, Narayana et al [1] combined the fuzzy control technique and the adaptive filtering technique to realize the maximum power point tracking of wind turbines. The results show that the algorithm can improve the wind energy utilization efficiency by 20%.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Simulation of Wind Turbine Optimal Control Considering wind Turbulence Characteristics

Liu

Yuxiang

et al. 2015

Int. J. Onl. Eng.

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Generic maximum power point tracking controller for small-scale wind turbines

Abstract: (2012) Generic maximum power point tracking controller for small-scale wind turbines. Renewable Energy, 44. pp. 72-79.

Cited by 90 publications

References 13 publications

Blade pitch control malfunction simulation in a wind energy conversion system with MPC five-level converter

Blade pitch control malfunction simulation in a wind energy conversion system with MPC five-level converter

Fuzzy Logic Control Based Standalone Wind Energy Conversion System For Dc Base Telecom Loads

Analysis and Simulation of Wind Turbine Optimal Control Considering wind Turbulence Characteristics

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