Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review

Reisi, Ali Reza; Moradi, Mohammad H.; Jamasb, Shahriar

doi:10.1016/j.rser.2012.11.052

Cited by 570 publications

(110 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The system is initialized with a population of random solutions and searches for optimum power generations. PSO has been successfully applied in many areas: function optimization, artificial neural network training, fuzzy system control, and other areas where GA can be applied [14].…”

Section: Particle Swarm Optimization Methodsmentioning

confidence: 99%

“…After getting the maximum power, MPP is zero and in next instant decreases and hence after that the perturbation reverses as. When the steady state is arrived the algorithm oscillates around the MPP [14,16].…”

Section: Perturbation and Observation Methodsmentioning

confidence: 99%

“…When they rotate the flagella in the clockwise direction, each flagellum pulls on the cell. That results in the moving of flagella independently and finally the bacterium tumbles with lesser number of tumbling whereas in a harmful place it tumbles frequently to find a nutrient gradient [7,14,19]. Moving the flagella in the counter-clockwise (Swim) direction aids the bacterium to swim at a very rapid rate.…”

Section: Bacterial Foraging Optimization Methodsmentioning

confidence: 99%

“…A new MPPT algorithm using neuro fuzzy system was presented to get the maximum power across the inverter terminals [13]. MATLAB/ Simulink based MPPT methods were discussed in terms of the dynamic response of the PV system to variations in temperature and irradiance, attainable efficiency, and implementation considerations [14]. FLC technique gives better and more reliable control for PV grid system with varying weather conditions [15].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimization of photovoltaic power system: a comparative study

Дабра

Paliwal

Sharma

et al. 2017

Prot Control Mod Power Syst

View full text Add to dashboard Cite

This paper presents a comparative study of P&O, fuzzy P&O and BPSO fuzzy P&O control methods by using MATLAB software for optimizing the power output of the solar PV grid array. The voltage, power output and the duty cycle of the solar PV array are well presented and analyzed with an algorithm. The model consists of 66 PV Cells connected parallel and 5 PV cells connected in series to make solar PV array. The BPSO Fuzzy method generates 43.4820 MW output power more than P&O method and 150 KW more than P&O fuzzy method. This also shows that the time response of the photovoltaic system reduces to perturbations and insures the continuity of the operation at the time in response to the continued maximum power point. It also eliminates the fluctuations around MPPT. Simulation results also revealed that BPSO fuzzy P&O controller is more effective as compare with P&O and fuzzy P&O models.

show abstract

Section: Particle Swarm Optimization Methodsmentioning

confidence: 99%

Section: Perturbation and Observation Methodsmentioning

confidence: 99%

Section: Bacterial Foraging Optimization Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of photovoltaic power system: a comparative study

Дабра

Paliwal

Sharma

et al. 2017

Prot Control Mod Power Syst

View full text Add to dashboard Cite

show abstract

“…In the literature, different conventional and intelligent MPPT tracking algorithms have been used to enhance convergence, control, and stability and minimize cost [2,3]. Conventional techniques like perturb and observe (P&O), hill climbing (HC), incremental conductance, open circuit voltage (OCV), or short circuit current (SCC) are widely used in the literature.…”

Section: Introductionmentioning

confidence: 99%

Indirect adaptive neurofuzzy Hermite wavelet based control of PV in a grid-connected hybrid power system

Mumtaz¹,

Khan²

2017

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

Abstract:Owing to the evolution of the smart grid, the emergence of hybrid power systems (HPSs), and the proliferation of plug-in-hybrid electric vehicles, the development of efficient and robust maximum power point tracking (MPPT) algorithms for renewable energy sources due to their inherent intermittent nature has overwhelmed the power industry.In this paper, an incremental conductance (IC) based Hermite wavelet incorporated neurofuzzy indirect adaptive MPPT control paradigm for a photovoltaic (PV) system in a grid-connected HPS is proposed. The performance of the proposed adaptive Hermite wavelet incorporated neurofuzzy MPPT control paradigm is validated through a comprehensive gridconnected HPS test-bed developed in MATLAB \ Simulink by comparison with an IC based adaptive indirect neurofuzzy Takagi-Sugeno-Kang (TSK) control scheme, IC based adaptive direct neurofuzzy TSK control system, IC based adaptive proportional-integral-derivative (adapPID) control scheme, and IC algorithm for PV systems.

show abstract

Maximum Power Point Tracking Techniques

Balato

Costanzo

Vitelli

2016

Wiley Encyclopedia of Electrical and Electronics Engineering

View full text Add to dashboard Cite

An essential objective for many photovoltaic (PV) applications is represented by the so‐called maximum power point tracking (MPPT). Under uniform irradiance and ambient temperature conditions, the power versus voltage characteristic of a PV array is characterized by the presence of a unique point, termed maximum power point (MPP), where the power provided by the array itself attains its maximum value. Any other operating point leads to the extraction of a smaller PV energy. Therefore, in order to avoid the waste of PV energy, the working of the array in its MPP is mandatory. Since the position of the MPP continuously changes in time as a function of irradiance and temperature, it is necessary to continuously track it. Such an objective can be obtained by using proper MPPT control techniques. A large number of papers have appeared in the scientific literature during the last 15 years on the issue of MPPT, and as a result it may be difficult to decide the best technique for a given application. Therefore, this survey may hopefully be beneficial to students, researchers, and practitioners in PV systems. The article overviews the representative PV MPPT algorithms, organized into four main groups. The first group contains the so‐called “hill climbing” techniques, the second group contains the “curve fitting” techniques, the third group contains the “dynamical” techniques, and the fourth group includes all the techniques that do not belong to the first three groups.

show abstract

Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review

Cited by 570 publications

References 54 publications

Optimization of photovoltaic power system: a comparative study

Optimization of photovoltaic power system: a comparative study

Indirect adaptive neurofuzzy Hermite wavelet based control of PV in a grid-connected hybrid power system

Maximum Power Point Tracking Techniques

Contact Info

Product

Resources

About