A novel control strategy is introduced for tracking the maximum power point of a wind turbine coupled with a permanent magnet synchronous generator.In contrast to other control methods,this approach does not rely on a...A novel control strategy is introduced for tracking the maximum power point of a wind turbine coupled with a permanent magnet synchronous generator.In contrast to other control methods,this approach does not rely on an electrical actuator such as a rectifier or inverter.Instead,it uses a mechanical actuator—specifically,a speed multiplier—to ensure maximum power point(MPP)tracking.The selection of the optimal speed multiplication ratio enables the pursuit of the maximum power coefficient by adjusting the tip-speed ratio(𝜆)to its optimal value.This approach requires no learning time,only knowledge of the wind turbine and generator parameters,which are used for selecting or sizing the speed multiplier and for control purposes.The new approach is validated through simulation in Matlab/Simulink,incorporating a wind profile measured by our team over a 15-day period.The results demonstrate effective tracking of maximum power,achieving a power coefficient efficiency of 98.1%.Considering the measured variability of the wind,the overall energy efficiency over the 15 days reaches 99.16%.The approach is applied to a model of a low-power wind turbine designed for domestic applications.展开更多
Electricity production from photovoltaic(PV)panels is maximized when the operating point is located at the maximum power point thanks to dedicated controllers.These controllers are driven to track the maximum power by...Electricity production from photovoltaic(PV)panels is maximized when the operating point is located at the maximum power point thanks to dedicated controllers.These controllers are driven to track the maximum power by using various algorithms within distributed or centralized architectures accounting for factors such as partial irradiation and temperature changes.The effect of irradiance on the optimal panel voltage is weak or even negligible,while it is strong and quasi-linear-dependent on temperature.Based on this observation,this article introduces a straightforward method for tracking the maximum power of a PV panel by using an optimizer,focusing solely on its temperature response as an input variable.The proposed approach hinges on linearizing the relationship between panel temperature and operating voltage.This relationship enables the estimation of the maximum power point through temperature measurement alone.Thus,after determination of the linear temperature coefficient of the voltage requiring only the knowledge of two optimal voltages at different temperatures,for example from the datasheet of the panel,the power tracking involves only one temperature sensor placed on the panel alongside a voltage sensor for regulation.The principle,modelling,and validation post-panel ageing of the method are detailed in this paper.Simulation,conducted using real experimental irradiation and temperature data,attests to the effectiveness of the control.Results indicate an average effectiveness of the method of>99.1%in tracking the maximum power,with the panel generating 2.33 kWh out of a possible 2.35 kWh.This performance is comparable to that of tracking devices employing more complex algorithms.The simplicity and efficiency of the method make it a promising option for maximizing the power production at low cost from PV systems in small or residential,on-or off-grid connected applications.展开更多
基金Supported by the Algerian Ministry of Scientific Research through a budget allocated to the LEPA Laboratory at the University of Science and Technology in Oran.
文摘A novel control strategy is introduced for tracking the maximum power point of a wind turbine coupled with a permanent magnet synchronous generator.In contrast to other control methods,this approach does not rely on an electrical actuator such as a rectifier or inverter.Instead,it uses a mechanical actuator—specifically,a speed multiplier—to ensure maximum power point(MPP)tracking.The selection of the optimal speed multiplication ratio enables the pursuit of the maximum power coefficient by adjusting the tip-speed ratio(𝜆)to its optimal value.This approach requires no learning time,only knowledge of the wind turbine and generator parameters,which are used for selecting or sizing the speed multiplier and for control purposes.The new approach is validated through simulation in Matlab/Simulink,incorporating a wind profile measured by our team over a 15-day period.The results demonstrate effective tracking of maximum power,achieving a power coefficient efficiency of 98.1%.Considering the measured variability of the wind,the overall energy efficiency over the 15 days reaches 99.16%.The approach is applied to a model of a low-power wind turbine designed for domestic applications.
基金supported by the Algerian Ministry of Higher Education and Scientific Research under grant number 06/ETT-LMD/FGE/USTO-mb/23the Agence Nationale de la Recherche(ANR)under grant no.ANR-19-CE22-008.
文摘Electricity production from photovoltaic(PV)panels is maximized when the operating point is located at the maximum power point thanks to dedicated controllers.These controllers are driven to track the maximum power by using various algorithms within distributed or centralized architectures accounting for factors such as partial irradiation and temperature changes.The effect of irradiance on the optimal panel voltage is weak or even negligible,while it is strong and quasi-linear-dependent on temperature.Based on this observation,this article introduces a straightforward method for tracking the maximum power of a PV panel by using an optimizer,focusing solely on its temperature response as an input variable.The proposed approach hinges on linearizing the relationship between panel temperature and operating voltage.This relationship enables the estimation of the maximum power point through temperature measurement alone.Thus,after determination of the linear temperature coefficient of the voltage requiring only the knowledge of two optimal voltages at different temperatures,for example from the datasheet of the panel,the power tracking involves only one temperature sensor placed on the panel alongside a voltage sensor for regulation.The principle,modelling,and validation post-panel ageing of the method are detailed in this paper.Simulation,conducted using real experimental irradiation and temperature data,attests to the effectiveness of the control.Results indicate an average effectiveness of the method of>99.1%in tracking the maximum power,with the panel generating 2.33 kWh out of a possible 2.35 kWh.This performance is comparable to that of tracking devices employing more complex algorithms.The simplicity and efficiency of the method make it a promising option for maximizing the power production at low cost from PV systems in small or residential,on-or off-grid connected applications.
