Analisis Kinerja Metode Fuzzy Teroptimasi PSO untuk Strategi Kendali MPPT pada Sistem Solar Photovoltaic

2021 ◽  
Vol 13 (2) ◽  
pp. 98-108
Author(s):  
Indah Soesanti ◽  
Ramadoni Syahputra
Keyword(s):  
Duty Cycle ◽  
Control Strategy ◽  
Renewable Energy Sources ◽  
Maximum Power ◽  
Load Test ◽  
Photovoltaic System ◽  
Solar Irradiation ◽  
Maximum Point ◽  
Resistive Load ◽  
Solar Photovoltaic

A fuzzy control system has been widely used in various problem solving. Its performance can be optimized using particle swarm optimization (PSO). This performance can be proven by applying it to the maximum power point tracking (MPPT) control strategy on solar photovoltaic systems. Solar photovoltaic power generation systems are increasingly popular because they are clean and renewable energy sources. The power generated by solar photovoltaic is strongly influenced by solar irradiation and the load carried. In order to obtain maximum power output, an MPPT control strategy is needed. An MPPT control strategy based on fuzzy and PSO hybrid control systems is proposed in this research. The fuzzy-PSO method selects and produces the optimal duty cycle for the boost dc-dc converter in a solar photovoltaic system. Variable duty cycle due to solar irradiation and load changes can be conditioned by the fuzzy-PSO-based MPPT method to extract maximum power. The research results show that the fuzzy-PSO method can control the solar photovoltaic output voltage through a dc-dc converter to produce maximum power at various solar irradiations. Test result by applying a resistive load produces output power at the maximum point. The best result is obtained in the 100 Ohm load test: the response time of 0.0818 seconds and excellent robustness.

scholarly journals The Performance Of Solar PV Array......

10.29007/1fq2 ◽  
2018 ◽  
Author(s):  
Sonali Malik ◽  
Dr. Bhupendra Parekh
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Resistive Load ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Output Side ◽  
Power Point

This paper gives the review of the modelling of solar photovoltaic (PV) array using the basic diode equations and comparison of various Maximum Power point Tracking (MPPT) techniques used for the tracking of maximum power available on the output side of PV array. The PV modelling as well as MPPT algorithms along with a DC-DC boost converter connected to a resistive load for standalone photovoltaic system are simulated and analysed in MATLAB/Simulink.

scholarly journals A new approach to achieve a fast acting MPPT technique for solar photovoltaic system under fast varying solar radiation

2018 ◽  
Vol 7 (2.20) ◽  
pp. 131 ◽  
Author(s):  
T Vijay Muni ◽  
S V N L Lalitha ◽  
B Krishna Suma ◽  
B Venkateswaramma
Keyword(s):  
Solar Radiation ◽  
Duty Cycle ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Load Line ◽  
Power Point ◽  
Solar Photovoltaic System ◽  
Fast Acting

In this paper, a new control technique is proposed to achieve a fast acting Maximum Power Point Tracking (MPPT) Technique for solar photovoltaic system under fast varying solar radiation. Conventional MPPT techniques in PV systems fail to track maximum power point (MPP) under fast varying of sunlight levels. In the proposed MPPT algorithm a fine tuned duty cycle for a DC-DC converter is achieved to avoid the divergence of MPP. This can be achieved from the relationship between the load line and the MPP locus. The MPPT algorithm is used to regulate the duty cycle of a DC-DC converter to ensure that always the load line cuts the I-V curve at MPP. The effectiveness of the proposed PV-MPPT system is demonstrated via case studies and simulation results shows the effective performance of the fast acting MPPT technique in achieving efficient MPP.  

scholarly journals Research Survey on Different MPP Tracking Optimization Algorithms for Solar Photovoltaic System (SPS)

2021 ◽  
Vol 12 (6) ◽  
pp. 2666-2671
Author(s):  
R. Mohan Kumar, Dr. C. Kathirvel
Keyword(s):  
Renewable Energy ◽  
Direct Method ◽  
Renewable Energy Sources ◽  
Photovoltaic System ◽  
Solar Irradiation ◽  
Operating Efficiency ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Solar Pv System

Due to increase in global warming, it is required to choose an alternative renewable energy source for the electricity generation. Among various renewable energy sources (RES), photo-voltaic energy is one of the most accessible source of energies. But the conversion rate of solar PV cell is about 25 % to 40 % of solar irradiation level. In Solar Photovoltaic (PV) system, to improve and maximize the operating efficiency level, Maximum Power Point Tracking (MPPT) techniques were required. Because of the change in the level of solar irradiance, and the nature of dynamic temperature, this MPP tracking will be highly important to make the solar PV system (SPS) to operate at higher efficiency level. This MPPT method is mainly categorized into three different types such as direct method, indirect method and intelligent method. This paper will gives and overview about various MPPT methods employed for solar PV system. Various controlling algorithms were discussed in this section for a better understanding.

Performance Comparision of P&O and INC MPPT Techniques for a Boost Converter in Solar Photovoltaic System

2014 ◽  
Vol 573 ◽  
pp. 89-94
Author(s):  
C. Vimalarani ◽  
N. Kamaraj
Keyword(s):  
Performance Comparison ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Irradiation ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point

Maximum power point tracking techniques play an important role in solar photovoltaic systems to achieve the desired output power. These techniques track maximum power from the solar panel under varying solar irradiation and cell temperature. Among these techniques, Perturb & Observe (P&O) is used by many researchers. Due to the ease of realization and Incremental conductance (INC) algorithm is widely used because of reduced oscillations around maximum power point. In this paper, MATLAB/SIMULINK tool has been used to evaluate the performance of 125W solar PV panel by using these algorithms. The performance comparison of P&O and INC techniques is made and the results exhibit the maximum power tracking from solar PV panel and well regulated output voltage across the load is achieved.

scholarly journals A Novel DSP-Based MPPT Control Design for Photovoltaic Systems Using Neural Network Compensator

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3260
Author(s):  
Ming-Fa Tsai ◽  
Chung-Shi Tseng ◽  
Kuo-Tung Hung ◽  
Shih-Hua Lin
Keyword(s):  
Neural Network ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Irradiation ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Irradiation Cell ◽  
Power Point ◽  
Neural Network Compensator

In this study, based on the slope of power versus voltage, a novel maximum-power-point tracking algorithm using a neural network compensator was proposed and implemented on a TI TMS320F28335 digital signal processing chip, which can easily process the input signals conversion and the complex floating-point computation on the neural network of the proposed control scheme. Because the output power of the photovoltaic system is a function of the solar irradiation, cell temperature, and characteristics of the photovoltaic array, the analytic solution for obtaining the maximum power is difficult to obtain due to its complexity, nonlinearity, and uncertainties of parameters. The innovation of this work is to obtain the maximum power of the photovoltaic system using a neural network with the idea of transferring the maximum-power-point tracking problem into a proportional-integral current control problem despite the variation in solar irradiation, cell temperature, and the electrical load characteristics. The current controller parameters are determined via a genetic algorithm for finding the controller parameters by the minimization of a complicatedly nonlinear performance index function. The experimental result shows the output power of the photovoltaic system, which consists of the series connection of two 155-W TYN-155S5 modules, is 267.42 W at certain solar irradiation and ambient temperature. From the simulation and experimental results, the validity of the proposed controller was verified.

scholarly journals Mathematical Modeling of Battery and Ultra Capacitor for Photo Voltaic System

2018 ◽  
Vol 7 (3.27) ◽  
pp. 41
Author(s):  
Rupanshu Suhane ◽  
M K. Chopra ◽  
V V.K. Sethi
Keyword(s):  
Mathematical Modeling ◽  
Capacitor Bank ◽  
Renewable Energy Sources ◽  
Photovoltaic System ◽  
Energy Sources ◽  
Solar Photovoltaic ◽  
The Earth ◽  
Photo Voltaic ◽  
Solar Photovoltaic System ◽  
Ultra Capacitor

In this paper the scientific displaying of battery and ultra capacitor is performed for solar photovoltaic system. The expansion of the ultra capacitor bank displays the requirement for a philosophy to upgrade the photovoltaic system to avoid abundance battery stockpiling. This work traces the strategy used to streamline the blend of photovoltaic boards, batteries, and ultra capacitors for a given solar radiation and load profile. Lessening supplies of petroleum derivative, top oil and the natural effect of non-renewable energy sources on the earth has energized a development in manageable energies, for example, wind and solar power.  

scholarly journals Modified Maximum Power Point Tracking Algorithm under Time-Varying Solar Irradiation

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6722
Author(s):  
Mehmet Ali Yildirim ◽  
Marzena Nowak-Ocłoń
Keyword(s):  
Renewable Energy Sources ◽  
Maximum Power Point Tracking ◽  
Average Power ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Time Varying ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Solar photovoltaic (PV) energy is one of the most viable renewable energy sources, considered less polluting than fossil energy. However, the average power conversion efficiency of PV systems is between 15% and 20%, and they must operate with high efficiency. Photovoltaic cells have non-linear voltage–current characteristics that are dependent on environmental factors such as solar irradiation and temperature, and have low efficiency. Therefore, it becomes crucial to harvest the maximum power from PV panels. This paper aims to study and analyze the most common and well-known maximum power point tracking (MPPT) algorithms, perturb and observe (P&O) and incremental conductance (IncCond). These algorithms were found to be easy to implement, low-cost techniques suitable for large- and medium-sized photovoltaic applications. The algorithms were tested and compared dynamically using MATLAB/Simulink software. In order to overcome the low performance of the P&O and IncCond methods under time-varying and fast-changing solar irradiation, several modifications are proposed. Results show an improvement in the tracking and overall system efficiencies and a shortened response time compared with original techniques. In addition, the proposed algorithms minimize the oscillations around the maximum power point (MPP), and the power converges faster.

scholarly journals An Intelligent Maximum Power Point Tracking Algorithm for Photovoltaic System

2018 ◽  
Vol 7 (4.35) ◽  
pp. 457
Author(s):  
M. I. Iman ◽  
M. F. Roslan ◽  
Pin Jern Ker ◽  
M. A. Hannan
Keyword(s):  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Resistive Load ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point

This work comprehensively demonstrates the performance analysis of Fuzzy Logic Controller (FLC) with Particle Swarm Optimization (PSO) Maximum Power Point Tracker (MPPT) algorithm on a stand-alone Photovoltaic (PV) applications systems. A PV panel, DC-DC Boost converter and resistive load was utilized as PV system. Three different MPPT algorithms were implemented in the converter. The result obtained from the converter was analyzed and compared to find the best algorithm to be used to identify the point in which maximum power can be achieve in a PV system. The objective is to reduce the time taken for the tracking of maximum power point of PV application system and minimize output power oscillation. The simulation was done by using MATLAB/Simulink with DC-DC Boost converter. The result shows that FLC method with PSO has achieved the fastest response time to track MPP and provide minimum oscillation compared to conventional P&O and FLC techniques.

scholarly journals An Improved PSO-Based MPPT Control Strategy for Photovoltaic Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
M. Abdulkadir ◽  
A. H. M. Yatim ◽  
S. T. Yusuf
Keyword(s):  
Control Strategy ◽  
Real Data ◽  
Weighting Factor ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Accelerate Convergence ◽  
Power Point

This paper presents a control strategy proposed for power maximizing which is a critical mechanism to ensure power track is maximized. Many tracking algorithms have been proposed for this purpose. One of the more commonly used techniques is the incremental conductance method. In this paper, an improved particle swarm optimization- (IPSO-) based MPPT technique for photovoltaic system operating under varying environmental conditions is proposed. The approach of linearly decreasing scheme for weighting factor and cognitive and social parameter is modified. The proposed control scheme can overcome deficiency and accelerate convergence of the IPSO-based MPPT algorithm. The approach is not only capable of tracking the maximum power point under uniform insolation state, but also able to find the maximum power point under fast changing nonuniform insolation conditions. The photovoltaic systematic process with control schemes is created using MATLAB Simulink to verify the effectiveness with several simulations being carried out and then compared with the conventional incremental conductance technique. Lastly, the effectiveness of the intended techniques is proven using real data obtained form previous literature. With the change in insolation and temperature portrait, it produces exceptional MPPT maximization. This shows that optimum performance is achieved using the intended method compared to the typical method.

scholarly journals Artificial Intelligence and Bio-Inspired Soft Computing-Based Maximum Power Plant Tracking for a Solar Photovoltaic System under Non-Uniform Solar Irradiance Shading Conditions—A Review

2021 ◽  
Vol 13 (19) ◽  
pp. 10575
Author(s):  
Amjad Ali ◽  
Kashif Irshad ◽  
Mohammad Farhan Khan ◽  
Md Moinul Hossain ◽  
Ibrahim N. A. Al-Duais ◽  
...  
Keyword(s):  
Soft Computing ◽  
Solar Irradiance ◽  
Weather Conditions ◽  
Review Article ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Flow Diagram ◽  
Maximum Output ◽  
Solar Photovoltaic ◽  
Partial Shading

Substantial progress in solar photovoltaic (SPV) dissemination in grid-connected and standalone power generation systems has been witnessed during the last two decades. However, weather intermittency has a non-linear characteristic impact on solar photovoltaic output, which can cause considerable loss in the system’s overall output. To overcome these inevitable losses and optimize the SPV output, maximum power point tracking (MPPT) is mounted in the middle of the power electronics converters and SPV to achieve the maximum output with better precision from the SPV system under intermittent weather conditions. As MPPT is considered an essential part of the SPV system, up to now, many researchers have developed numerous MPPT techniques, each with unique features. A Google Scholar survey from 2015–2021 was performed to scrutinize the number of published review papers in this area. An online search established that on different MPPT techniques, overall, 100 review articles were published; out of these 100, seven reviews on conventional MPPT techniques under shading or partial shading and only four under non-uniform solar irradiance are published. Unfortunately, no dedicated review article has explicitly focused on soft computing MPPT (SC-MPPT) techniques. Therefore, a comprehensive review of articles on SC-MPPT techniques is desirable, in which almost all the familiar SC-MPPT techniques have to be summarized in one piece. This review article concentrates explicitly on soft computing-based MPPT techniques under non-uniform irradiance conditions along with their operating principles, block/flow diagram. It will not only be helpful for academics and researchers to provide a future direction in SC-MPPT optimization research, but also help the field engineers to select the appropriate SC-MPPT for SPV according to system design and environmental conditions.

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