An Advanced Particle Swarm Optimization Algorithm for MPPTs in PV Systems
Reads0
Chats0
TLDR
The proposed advanced particle swarm optimization algorithm aims to catch the global maximum power point much faster, accurately and to reduce the chatter in the power curve and accelerates the globalmaximum tracking time with gridding the initial search area.Abstract:
Maximum power point trackers are in charge of absorbing the maximum potential power from the photovoltaic panels. Thus, this makes the maximum power point trackers the fundamental parts of the photovoltaic panel systems. The conventional maximum power point tracker algorithms are working well under balanced insolation conditions, however when the partial shade condition occurs, those algorithms are trapped at the local maxima. Hence, under partial shade conditions, the need for a global maximum power point tracking algorithm arises. Particle swarm optimization is a preferential algorithm of maximum power point trackers in literature, especially in partial shade conditions. This paper is focused on improving the existing particle swarm optimization algorithm for maximum power point trackers. The proposed advanced particle swarm optimization algorithm aims to catch the global maximum power point much faster, accurately and to reduce the chatter in the power curve. The proposed method accelerates the global maximum tracking time with gridding the initial search area. The effectiveness of the proposed method is demonstrated with simulation results and these results are compared with a conventional particle swarm optimization method under step changes in irradiance and partial shade conditions of an array of photovoltaic panels.read more
Citations
More filters
Journal ArticleDOI
Comprehensive study on automation of toxic gas measurement
TL;DR: In this paper, a semi-continuous measurement system automation with a single set of sensors working by taking air samples from different points over specific periods has been designed to reduce investment, operation, and maintenance repair costs.
Journal ArticleDOI
Research on the maximum power point tracking method of photovoltaic based on Newton interpolation-assisted particle swarm algorithm
TL;DR: In this paper , an improved particle swarm optimization (PSO) algorithm is proposed to achieve the goal of MPPT, which uses Newton interpolation-assisted conventional PSO, and the results show that the improved PSO has better tracking accuracy and speed than the conventional algorithm.
Proceedings ArticleDOI
Power Tracking Controller Design For Photo-voltaic Systems Based On Particle Swarm Optimization Technique
TL;DR: This paper presents the methodology of PI controller tuning of PV employing Particle Swarm Optimization (PSO) to obtain the maximum power and maintain its value using the PI controller.
Posted ContentDOI
Efficiency Improvement of Solar Panels Through Parasitic Parameters Extraction and Maximum Power Improvement with Enhanced Slime Mold Optimization Under Partial Shading Conditions
TL;DR: In this paper , a bio-inspired Enhanced Slime Mold (ESM) algorithm search strategy was proposed to find the optimal power point by simulating the behaviour of slime molds in a virtual environment.
References
More filters
Journal ArticleDOI
An Improved Particle Swarm Optimization (PSO)–Based MPPT for PV With Reduced Steady-State Oscillation
TL;DR: In this article, the authors proposed an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm.
Journal ArticleDOI
Maximum Power Point Tracking of Multiple Photovoltaic Arrays: A PSO Approach
TL;DR: A novel MPPT algorithm is proposed by introducing a particle swarm optimization (PSO) technique that uses only one pair of sensors to control multiple PV arrays, thereby resulting in lower cost, higher overall efficiency, and simplicity with respect to its implementation.
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.
Proceedings ArticleDOI
Modeling and simulation of hill climbing MPPT algorithm for photovoltaic application
Mohammad Iman Bahari,Pouya Tarassodi,Yousef Mazaheri Naeini,Ali Kalantari Khalilabad,Paimaneh Shirazi +4 more
TL;DR: In this article, the authors presented the modeling and simulation of hill climbing (HC) maximum power point tracking (MPPT) using novel Single Ended Primary Inductance Converter (SEPIC).
Proceedings ArticleDOI
Comparative analysis of developed incremental conductance (IC) and perturb & observe (P&O) MPPT algorithm for photovoltaic applications
TL;DR: Modeling in Matlab/Simulink environment facilitates design and simulation of the MPPT algorithms and provides a modular visual simulation and user-friendly environment which can be easily reconfigurable for the electrical response of solar photovoltaic module or system.
Related Papers (5)
Comparison between the Conventional Methods and PSO Based MPPT Algorithm for Photovoltaic Systems
Ramdan B. A. Koad,Ahmed F. Zobaa +1 more
An improved PSO algorithm for high accurate parameter identification of PV model
Lili Gong,Wu Cao,Jianfeng Zhao +2 more