scholarly journals Improvement of Microgrid Dynamic Performance under Fault Circumstances using ANFIS for Fast Varying Solar Radiation and Fuzzy Logic Controller for Wind System

2014 ◽  
Vol 63 (4) ◽  
pp. 551-578 ◽  
Author(s):  
Maziar Izadbakhsh ◽  
Alireza Rezvani ◽  
Majid Gandomkar
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Dynamic Performance ◽  
Maximum Power ◽  
Maximum Point ◽  
Maximum Power Point ◽  
Inference System ◽  
Power Point ◽  
Power Curves

Abstract The microgrid (MG) technology integrates distributed generations, energy storage elements and loads. In this paper, dynamic performance enhancement of an MG consisting of wind turbine was investigated using permanent magnet synchronous generation (PMSG), photovoltaic (PV), microturbine generation (MTG) systems and flywheel under different circumstances. In order to maximize the output of solar arrays, maximum power point tracking (MPPT) technique was used by an adaptive neuro-fuzzy inference system (ANFIS); also, control of turbine output power in high speed winds was achieved using pitch angle control technic by fuzzy logic. For tracking the maximum point, the proposed ANFIS was trained by the optimum values. The simulation results showed that the ANFIS controller of grid-connected mode could easily meet the load demand with less fluctuation around the maximum power point. Moreover, pitch angle controller, which was based on fuzzy logic with wind speed and active power as the inputs, could have faster responses, thereby leading to flatter power curves, enhancement of the dynamic performance of wind turbine and prevention of both frazzle and mechanical damages to PMSG. The thorough wind power generation system, PV system, MTG, flywheel and power electronic converter interface were proposed by using Mat-lab/Simulink.

scholarly journals PLL Based Energy Efficient PV System with Fuzzy Logic Based Power Tracker for Smart Grid Applications

2016 ◽  
Vol 2016 ◽  
pp. 1-20
Author(s):  
G. Rohini ◽  
V. Jamuna
Keyword(s):  
Fuzzy Logic ◽  
Dynamic Performance ◽  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Pv Array ◽  
Point Tracking ◽  
Switching Losses ◽  
Power Point ◽  
Conversion Stage

This work aims at improving the dynamic performance of the available photovoltaic (PV) system and maximizing the power obtained from it by the use of cascaded converters with intelligent control techniques. Fuzzy logic based maximum power point technique is embedded on the first conversion stage to obtain the maximum power from the available PV array. The cascading of second converter is needed to maintain the terminal voltage at grid potential. The soft-switching region of three-stage converter is increased with the proposed phase-locked loop based control strategy. The proposed strategy leads to reduction in the ripple content, rating of components, and switching losses. The PV array is mathematically modeled and the system is simulated and the results are analyzed. The performance of the system is compared with the existing maximum power point tracking algorithms. The authors have endeavored to accomplish maximum power and improved reliability for the same insolation of the PV system. Hardware results of the system are also discussed to prove the validity of the simulation results.

scholarly journals Adaptive Maximum Power Control Based on Optimum Torque Method for Wind Turbine by Using Fuzzy-Logic Adaption Mechanisms during Partial Load Operation

2020 ◽  
Vol 64 (2) ◽  
pp. 170-178 ◽  
Author(s):  
Youcef Saidi ◽  
Abdelkader Mezouar ◽  
Yahia Miloud ◽  
Brahim Brahmi ◽  
Kamel Djamel Eddine Kerrouche ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Power Control ◽  
Wind Turbine ◽  
Control Method ◽  
Dynamic Performance ◽  
Maximum Power ◽  
Point Tracking ◽  
Wind Turbine System ◽  
Partial Load ◽  
Power Point

This paper aims to increase the effectiveness of the Maximum Power Control (MPC) strategy by using a new Adaptive Maximum Power Control method (AMPC) for maximizing the power delivered by the Wind Turbine System (WTS) during partial load operation whatever the disturbances caused by variations in wind profile. The AMPC is applied to one of the frequently used Maximum Power Point Tracking (MPPT) methods called as Optimum Torque (OT) MPPT algorithm. Furthermore, the proposed AMPC strategy aims to optimize the wind energy captured by the WTS during partial load operation under rating wind speed, using Fuzzy-Logic as Adaption Mechanisms (AMPC- FLC). Additionally, the performances of the proposed improved OT-MPPT method based on AMPC-FLC are compared to the OT-MPPT method based on Conventional Maximum Power Control (CMPC-PI) under the same conditions. The robustness, dynamic performance, and fast approximation of the optimal value are proved with the numerical simulations under MATLAB/Simulink® software.

MPPT Strategy of PV System Based on Adaptive Fuzzy Control

2014 ◽  
Vol 1008-1009 ◽  
pp. 63-67
Author(s):  
Jia Yuan ◽  
Yu Jiang Wang ◽  
Jing Hong Cui ◽  
Hui Li Zheng ◽  
Liu Bin ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Adaptive Fuzzy Control ◽  
Maximum Power ◽  
Solar Pv ◽  
Step Method ◽  
Photoelectric Conversion ◽  
Maximum Power Point ◽  
Adaptive Fuzzy ◽  
Power Point

In order to use photovoltaic cell effectively and improve its photoelectric conversion efficiency, the maximum power point of photovoltaic generation system should be tracked rapidly and stably [1]. Taking into account the solar PV systems are often affected by external factors,it is difficult to determine system parameters, and has a strong non-linear,so this paper,a adaptive fuzzy logic control technology for STP0950S-36 type of independent photovoltaic systems to a adaptive fuzzy controller design method, and using MATLAB/SIMULINK,fuzzy logic toolbox for simulation tools such as maximum power point control,adaptive fuzzy control simulation results of MPPT with fixed step method compared to fixed-step method was found to reach steady there is a certain state after the fluctuation,The results show that the method can quickly and correctly track change of MPP in different light intensity and the system has excellent stability performance.

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