Book ChapterDOI
Simulation of Metaheuristic Intelligence MPPT Techniques for Solar PV Under Partial Shading Condition
CH Hussaian Basha,C. Rani,R. M. Brisilla,S. Odofin +3 more
- pp 773-785
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TLDR
Two global metaheuristic optimization techniques are simulated and the comparative analysis is carried out in terms of tracking speed, steady-state oscillations, algorithm complexity, periodic tuning, and dynamic response.Abstract:
The nonlinear characteristics of solar PV consist of different MPPs under the partial shading condition. Hence, it is difficult to find out true MPP. The conventional MPPT methods are not giving an accurate position of MPP. In this work, two global metaheuristic optimization techniques are simulated and the comparative analysis is carried out in terms of tracking speed, steady-state oscillations, algorithm complexity, periodic tuning, and dynamic response. Those are the Cuckoo Search Optimization (CSO) and Particle Swarm Optimization (PSO) MPPT methods used to extract the maximum power of solar PV under partial shading condition. The Matlab/Simulink is used to evaluate performance results of CSA and PSO MPPT techniques.read more
Citations
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Journal ArticleDOI
Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis
CH Hussaian Basha,C. Rani +1 more
TL;DR: Clear insight is presented supporting the suitability of MPPT techniques for different types of converter configurations.
Journal ArticleDOI
A Comparative Analysis of MPPT Techniques for Grid Connected PVs
TL;DR: Beta algorithm proved to have greater tracking power, minor power loss, great tracking speed, less time, and less oscillation than the other techniques.
Book ChapterDOI
Design of Artificial Intelligence-Based Hybrid MPPT Controllers for Partially Shaded Solar PV System with Non-isolated Boost Converter
Book ChapterDOI
Design of Adaptive VSS-P&O-Based PSO Controller for PV-Based Electric Vehicle Application with Step-up Boost Converter
TL;DR: In this article , an adaptive variable step size Perturb & Observe (VSS-P&O)-based particle swarm optimization (PSO) controller is proposed as a maximum power point tracking (MPPT) controller for enhancing energy yield potential of SPV systems.
Book ChapterDOI
Design of High Voltage Gain DC-DC Converter with Fuzzy Logic Controller for Solar PV System Under Dynamic Irradiation Conditions
TL;DR: In this paper , a maximum power point tracking (MPPT) technique is applied to find out the working point of a PV array, where the switching pulses of the boost converter are obtained from the slider controller.
References
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Journal ArticleDOI
A comprehensive review on solar PV maximum power point tracking techniques
TL;DR: In this article, a state of the art review on various maximum power point techniques for solar PV systems covering timeworn conventional methods and latest soft computing algorithms is presented to date critical analysis on each of the method in terms of tracking speed, algorithm complexity, dynamic tracking under partial shading and hardware implementation is not been carried out.
Journal ArticleDOI
Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions
TL;DR: A novel artificial bee colony based maximum power point tracking algorithm (MPPT) that does not allow only overcoming the common drawback of the conventional MPPT methods, but it gives a simple and a robust MPPT scheme.
Journal ArticleDOI
Particle Swarm Optimization Based Solar PV Array Reconfiguration of the Maximum Power Extraction Under Partial Shading Conditions
Thanikanti Sudhakar Babu,J. Prasanth Ram,Tomislav Dragicevic,Masafumi Miyatake,Frede Blaabjerg,N. Rajasekar +5 more
TL;DR: In this paper, an alternative to physical relocation based on particle swarm optimization (PSO) connected modules is proposed, where the physical location of the modules remains unchanged, while its electrical connections are altered.
Journal ArticleDOI
Improved Differential Evolution-Based MPPT Algorithm Using SEPIC for PV Systems Under Partial Shading Conditions and Load Variation
Kok Soon Tey,Saad Mekhilef,Mehdi Seyedmahmoudian,Ben Horan,Amanullah M. T. Oo,Alex Stojcevski +5 more
TL;DR: An improved global search space differential evolution algorithm for tracking the GMPP and faster respond against load variation; optimization algorithm can search for theGMPP within a larger operating region as it is implemented by using a single-ended primary-inductor converter; and easy tuning as less parameter has to be set in the algorithm.
Journal ArticleDOI
Solar PV-Based Scalable DC Microgrid for Rural Electrification in Developing Regions
TL;DR: In this paper, the design, analysis, and implementation of a highly distributed off-grid solar photovoltaic dc microgrid architecture suitable for rural electrification in developing countries is described.
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