scholarly journals Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4153 ◽  
Author(s):  
Adeel Feroz Mirza ◽  
Majad Mansoor ◽  
Qiang Ling ◽  
Muhammad Imran Khan ◽  
Omar M. Aldossary
Keyword(s):  
Steady State ◽  
Pid Controller ◽  
Superior Performance ◽  
Variable Step Size ◽  
Step Size ◽  
Pv System ◽  
Fast Tracking ◽  
Point Tracking ◽  
Incremental Conductance ◽  
Variable Step

In this article, a novel maximum power point tracking (MPPT) controller for the fast-changing irradiance of photovoltaic (PV) systems is introduced. Our technique utilizes a modified incremental conductance (IC) algorithm for the efficient and fast tracking of MPP. The proposed system has a simple implementation, fast tracking, and achieved steady-state oscillation. Traditional MPPT techniques use a tradeoff between steady-state and transition-state parameters. The shortfalls of various techniques are studied. A comprehensive comparative study is done to test various existing techniques against the proposed technique. The common parameters discussed in this study are fast convergence, efficiency, and reduced oscillations. The proposed method successfully addresses these issues and improves the results significantly by using a proportional integral deferential (PID) controller with a genetic algorithm (GA) to predict the variable step size of the IC-based MPPT technique. The system is designed and tested against the perturbation and observation (P&O)-based MPPT technique. Our technique effectively detects global maxima (GM) for fast-changing irradiance due to the adopted GA-based tuning of the controller. A comparative analysis of the results proves the superior performance and capabilities to track GM in fewer iterations.

A Noval Improved Variable Step-Size Incremental Resistance Maximum Power Point Tracking Controller for Photo Voltaic System Under Partial Shading Condition

2019 ◽  
Vol 16 (2) ◽  
pp. 740-744
Author(s):  
R. Geethamani ◽  
C. Pavithra ◽  
B. Niranjana ◽  
V. Gomathy ◽  
P. Chitra
Keyword(s):  
Maximum Power Point Tracking ◽  
Variable Step Size ◽  
Step Size ◽  
Pv System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Variable Step ◽  
Power Point

A Variable step size Incremental resistance algorithm for PV system was designed for maximum power point tracking. The outputs are generated with help of MATLAB/SIMLUNK. The performance of the PV system for partial shading condition was observed. The output for the system was found to be more efficient and attains stability much faster than any other controller. The power output can be controlled by varying the scaling factor.

scholarly journals Photovoltaic MPPT Algorithm Based on Hybrid Boost Converter and Variable Step Size Incremental Conductance

2021 ◽  
Vol 299 ◽  
pp. 01013
Author(s):  
Yiwei Ma ◽  
Fuxing Wang ◽  
Zongsheng Huang ◽  
Qin Feng ◽  
Changhao Piao
Keyword(s):  
Low Voltage ◽  
Boost Converter ◽  
Photovoltaic System ◽  
Variable Step Size ◽  
Tracking Accuracy ◽  
Step Size ◽  
Point Tracking ◽  
Incremental Conductance ◽  
Variable Step ◽  
Power Point

Aiming at the problem of low voltage gain of traditional boost converter and the incompatibility of tracking speed and tracking accuracy with the traditional incremental conductance algorithm (INC), this paper uses the hybrid boost converter as the DC/DC converter of photovoltaic system, and designs the variable step size INC algorithm control strategy to achieve Maximum power point tracking (MPPT) of photovoltaic. Simulink simulation model verifies the feasibility of the proposed algorithm, which effectively improves the output voltage and power generation efficiency of the photovoltaic system.

Variable Step Size P&O MPPT Algorithm on 250 W Interleaved Flyback Converter

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Y. Munandar K. ◽  
Eka Firmansyah ◽  
Suharyanto Suharyanto
Keyword(s):  
Steady State ◽  
Dynamic Performance ◽  
Solar Irradiation ◽  
Variable Step Size ◽  
Step Size ◽  
Photovoltaic Panel ◽  
Point Tracking ◽  
Variable Step ◽  
Power Point ◽  
State Error

Maximum power point tracking (MPPT) algorithm seek the MPP to maximize delivered the power of a photovoltaic panel. From several MPPT algorithms, the perturb and observe (P&O) algorithm is commonly used algorithm because of its easy implementation. However, it is not the most efficient algorithm due to the perturbation step is fixed. By using the high step size, the MPP tracking became fast but there would be a high steady state error and by using the low step size, there would be less steady state error but the MPP tracking became slow. Resulting in a waste of energy in steady-state conditions when the working point passes through the MPP and poorly dynamic performance indicated when the setpoint changes due to solar irradiation changes. In this paper, a modification variable step-size of the P&O algorithm has been proposed with setting the step-size automatically at each point of work. To validate the concept of modification variable step-size, simulation using PSIM has been carried out. Compared with the conventional P&O method with fixed step-size, the proposed modified P&O method can increase tracking speed and efficiency in the system.

scholarly journals A Variable Step Size Incremental Conductance Direct MPPT Method for Stand-Alone PV Systems

2012 ◽  
Vol 16 (7) ◽  
pp. 881-887
Author(s):  
Jae-Hoon Cho ◽  
◽  
Jin-Il Park ◽  
Won-Pyo Hong ◽  
Myung-Geun Chun ◽  
...  
Keyword(s):  
Dynamic Performance ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Fuzzy Membership ◽  
Variable Step Size ◽  
Step Size ◽  
Pv System ◽  
Pv Systems ◽  
Incremental Conductance ◽  
Variable Step

This paper presents a variable step size incrementalconductance direct Maximum Power Point Tracking (MPPT) method using fuzzy membership for a standalone photovoltaic (PV) system under rapidly changing irradiation. MPPT techniques have been widely applied in PV systems to make a PV array generate maximum power, which depends on solar irradiation. In most applications of MPPT technologies, MPPT algorithm design methods are performed and tested under slowly changing atmospheric conditions such as irradiation and temperature. The short-term effect under rapidly changing irradiation should be considered, however, to improve the dynamic performance of PV system. Our proposed MPPT method is based on an incremental conductance algorithm with a direct control scheme that can directly adjust the duty cycle for the PI controller. A fuzzy membership function is adopted to determine the variable step size according to rapidly changing irradiation. The proposed methods thus has not only faster dynamic performance but also high tracking accuracy. In order to show the effect of the proposed method, the simulation model and proposed MPPT is designed with MATLAB/Simpower and simulated with MATLAB/Stateflow.

scholarly journals Artificial Neural Network Assisted Variable Step Size Incremental Conductance MPPT Method with Adaptive Scaling Factor

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 43
Author(s):  
Song-Pei Ye ◽  
Yi-Hua Liu ◽  
Chun-Yu Liu ◽  
Kun-Che Ho ◽  
Yi-Feng Luo
Keyword(s):  
Neural Network ◽  
Golden Section ◽  
Characteristic Curve ◽  
Optimal Scaling ◽  
Scaling Factor ◽  
Variable Step Size ◽  
Step Size ◽  
Point Tracking ◽  
Incremental Conductance ◽  
Variable Step

In conventional adaptive variable step size (VSS) maximum power point tracking (MPPT) algorithms, a scaling factor is utilized to determine the required perturbation step. However, the performance of the adaptive VSS MPPT algorithm is essentially decided by the choice of scaling factor. In this paper, a neural network assisted variable step size (VSS) incremental conductance (IncCond) MPPT method is proposed. The proposed method utilizes a neural network to obtain an optimal scaling factor that should be used in current irradiance level for the VSS IncCond MPPT method. Only two operating points on the characteristic curve are needed to acquire the optimal scaling factor. Hence, expensive irradiance and temperature sensors are not required. By adopting a proper scaling factor, the performance of the conventional VSS IncCond method can be improved, especially under rapid varying irradiance conditions. To validate the studied algorithm, a 400 W prototyping circuit is built and experiments are carried out accordingly. Comparing with perturb and observe (P&O), α-P&O, golden section and conventional VSS IncCond MPPT methods, the proposed method can improve the tracking loss by 95.58%, 42.51%, 93.66%, and 66.14% under EN50530 testing condition, respectively.

scholarly journals Estimating Efficiency of MPPT Techniques by Chattering Examination

2019 ◽  
Vol 9 (1S) ◽  
pp. 43-47
Keyword(s):  
Photovoltaic System ◽  
Variable Step Size ◽  
Step Size ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Variable Step ◽  
Power Point ◽  
Solar Photovoltaic System

Increasing the efficiency of MPPT techniques is the essential aspects of the Solar Photovoltaic System. This efficiency is affected by the chattering available with the MPPT techniques. An MPP technique which generates less chattering in the system is more efficient than the others. This paper presents the chattering analysis of the popular Maximum Power Point Tracking (MPPT) techniques Perturb & Observe (P&O) and Incremental conductance method for the fixed and variable step size. The algorithms are simulated under similar load and environment conditions. In the result it is found that the incremental conductance method has very less chattering in comparison with the P&O for the fixed step size and variable step size. Further, for the different solar radiation chattering is observed and tabulated

Active control for vehicle interior noise using the improved iterative variable step-size and variable tap-length LMS algorithms

2019 ◽  
Vol 67 (6) ◽  
pp. 405-414 ◽  
Author(s):  
Ningning Liu ◽  
Yuedong Sun ◽  
Yansong Wang ◽  
Hui Guo ◽  
Bin Gao ◽  
...  
Keyword(s):  
Steady State ◽  
Noise Control ◽  
Convergence Speed ◽  
Interior Noise ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Vehicle Interior ◽  
Vehicle Interior Noise ◽  
Variable Step

Active noise control (ANC) is used to reduce undesirable noise, particularly at low frequencies. There are many algorithms based on the least mean square (LMS) algorithm, such as the filtered-x LMS (FxLMS) algorithm, which have been widely used for ANC systems. However, the LMS algorithm cannot balance convergence speed and steady-state error due to the fixed step size and tap length. Accordingly, in this article, two improved LMS algorithms, namely, the iterative variable step-size LMS (IVS-LMS) and the variable tap-length LMS (VT-LMS), are proposed for active vehicle interior noise control. The interior noises of a sample vehicle are measured and thereby their frequency characteristics. Results show that the sound energy of noise is concentrated within a low-frequency range below 1000 Hz. The classical LMS, IVS-LMS and VT-LMS algorithms are applied to the measured noise signals. Results further suggest that the IVS-LMS and VT-LMS algorithms can better improve algorithmic performance for convergence speed and steady-state error compared with the classical LMS. The proposed algorithms could potentially be incorporated into other LMS-based algorithms (like the FxLMS) used in ANC systems for improving the ride comfort of a vehicle.

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