Investigation of Different Methods to Control a Small Variable-Speed Wind Turbine With PMSM Drives

2006 ◽  
Vol 129 (3) ◽  
pp. 200-213 ◽  
Author(s):  
Jamel Belhadj ◽  
Xavier Roboam

In this paper, a different control strategy of a small wind generator, including a permanent magnet synchronous machine (PMSM), has been studied. The objective is to analyze the produced power quality of small wind turbines connected to weak AC grids. The extraction of the electrical energy from the wind turbine is based on a maximum power point tracking (MPPT) algorithm to control a pulse width modulation (PWM) rectifier. The grid connection is realized by means of a PWM voltage source inverter via a filter. This inverter is controlled by three different methods based on current or active and reactive power control. These methods are applicable for different power ranges. The obtained results demonstrate the efficiency of the system and the energetic contribution, mainly for rural weak AC grids.

2019 ◽  
Vol 125 ◽  
pp. 14013
Author(s):  
Kurniawan Galih Putra Pratama ◽  
Hermawan Hermawan ◽  
Trias Andromeda

Indonesia is a country consisting of several islands some of which are still not covered by electricity. It is this source of PV that can be used to meet the needs of people who are not yet affordable with PLN electricity. Basically, PV includes the generation of new renewable energy types. This new form of energy comes from sunlight. Using semiconductor materials can convert energy from sunlight to electrical energy. Because in Indonesia this includes tropical climates located on the equator line, making Indonesia has a very high intensity of light. Several factors affect electrical energy, namely the extent of PV to be used, the total irradiance received by PV, the decrease in performance due to weather and cleanliness of the PV used such as snow and oiliness. In this study explained the Analysis of Irradian-based Grid Tie photovoltaic performance with Polycrystalline PV types. Taking irradian data using a Solar Power Meter, irradiance and temperature data at a certain time will use the Incremental Maximum Power Point Tracking (MPPT) method, DC-DC boost converter, inverter, voltage source converter (VSC) using algorithm and equipment controls connected to network. This research is simulated using Matlab with the Simulink program.


2015 ◽  
Vol 787 ◽  
pp. 782-786 ◽  
Author(s):  
R. Prakash ◽  
D. Christopher ◽  
K. Kumarrathinam

The prime objective of this paper is to present the details of a thermoelectric waste heat energy recovery system for automobiles, more specifically, the surface heat available in the silencer. The key is to directly convert the surface heat energy from automotive waste heat to electrical energy using a thermoelectric generator, which is then regulated by a DC–DC Cuk converter to charge a battery using maximum power point tracking. Hence, the electrical power stored in the battery can be maximized. Also the other face of the TEG will remain cold. Hence the skin burn out accidents can be avoided. The experimental results demonstrate that the proposed system can work well under different working conditions, and is promising for automotive industry.


Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4437
Author(s):  
Habib Benbouhenni ◽  
Nicu Bizon

A synergetic sliding mode (SSM) approach is designed to address the drawbacks of the direct field-oriented control (DFOC) of the induction generators (IGs) integrated into variable speed dual-rotor wind power (DRWP) systems with the maximum power point tracking (MPPT) technique. Using SSM controllers in the DFOC strategy, the active power, electromagnetic torque, and reactive power ripples are reduced compared to traditional DFOC using proportional-integral (PI) controllers. This proposed strategy, associated with SSM controllers, produces efficient state estimation. The effectiveness of the designed DFOC strategy has been evaluated on variable speed DRWP systems with the MPPT technique.


2021 ◽  
Vol 13 (6) ◽  
pp. 3037
Author(s):  
Carlos Muñoz ◽  
Marco Rivera ◽  
Ariel Villalón ◽  
Carlos R. Baier ◽  
Javier Muñoz ◽  
...  

The high increase of renewable energy sources and the increment of distributed generation in the electrical grid has made them complex and of variable parameters, causing potential stability problems to the PI controllers. In this document, a control strategy for power injection to the electrical system from photovoltaic plants through a voltage source inverter two-level-type (VSI-2L) converter is proposed. The algorithm combines a current-based maximum power point-tracking (Current-Based MPPT) with model predictive control (MPC) strategy, allowing avoidance of the use of PI controllers and lowering of the dependence of high-capacitive value condensers. The sections of this paper describe the parts of the system, control algorithms, and simulated and experimental results that allow observation of the behavior of the proposed strategy.


2019 ◽  
Vol 8 (2S8) ◽  
pp. 1140-1148

The extensive usage of solar has extended the opportunity of research to increase the efficiency of PV module. Maximum Power Point Tracking technique plays an important role. In P & O and Incremental conductance the power produced is less. In this paper a Fuzzy based P & O and Fuzzy based Incremental Conductance MPPT techniques are presented to extract the maximum power from the photovoltaic system by considering the dynamic variation in irradiations and temperature also. Here the 100 kW PV array is considered and it is connected to the utility grid via a DC-DC boost converter of 500volts with a 3 phase three level voltage source converter. The result is obtained by the MAT LAB Simulink and the same is appraised with the traditional P & O and Incremental conductance. The PV System produces the maximum power by the application of Fuzzy based incremental Technique compared to conventional methods.


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