Proceedings ArticleDOI
An innovative method for solar pv parameter extraction for double diode model
Sudhakar Babu T,K. Priya,N. Rajasekar,Karthik Balasubramanian +3 more
- pp 1-6
TLDR
In this paper, a novel objective function based on derivative of maximum power with respect to voltage for solar PV double diode model is proposed for parameter extraction using Artificial Immune System (AIS).Abstract:
The potential of renewable energy sources is massive as they can in principle meet many times the world's energy demand. In this paper, Solar PV parameter extraction is performed using Artificial Immune System (AIS). A novel objective function based on derivative of maximum power with respect to voltage for solar PV double diode model is proposed. For validation and performance evaluation, the results obtained using the proposed approach employing AIS, are compared with Genetic algorithm (GA) and particle swarm optimization (PSO). As compared to GA and PSO, AIS using the proposed approach has the least error. The results also showcase that the proposed approach with AIS outclasses GA and PSO in terms of absolute error for all the three PV models under various irradiation conditions.read more
Citations
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Journal ArticleDOI
Parameter estimation for photovoltaic system under normal and partial shading conditions: A survey
TL;DR: To enable an optimal PV design parameter estimation there is an inevitable need to incorporate either evolutionary computation schemes or apply an efficient multi-objective optimization measures.
Journal ArticleDOI
Shuffled Complex Evolution on Photovoltaic Parameter Extraction: A Comparative Analysis
TL;DR: In this paper, a shuffled complex evolution (SCE) technique was used for extracting the intrinsic parameters of a photovoltaic (PV) generator by using shuffled complexity evolution (SCE) technique for a double-diode PV model.
Journal ArticleDOI
Particle swarm optimization approach to determine all parameters of the photovoltaic cell
Dris Ben Hmamou,Mustapha Elyaqouti,Elhanafi Arjdal,Jamal Chaoufi,Driss Saadaoui,Souad Lidaighbi,Rabya Aqel +6 more
TL;DR: In this article, the particle swarm optimization (PSO) approach was used to estimate the single-diode model parameters of the photovoltaic modules, which require five parameters.
Journal ArticleDOI
Noise-Scaled Euclidean Distance: A Metric for Maximum Likelihood Estimation of the PV Model Parameters
TL;DR: In this article , a new noise-scaled Euclidean distance (NSED) metric is proposed as a weighted variation of ED, which is shown to fetch the maximum likelihood estimates (MLE) of the model parameters at any noise conditions.
References
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Proceedings ArticleDOI
A New Solution to Economic Emission Load Dispatch Using Immune Genetic Algorithm
TL;DR: This paper introduces a kind of immune genetic algorithm which regards objective function as antigen, solution as antibody and updates the population using evolutionary strategy and optimization and quick constringency of this algorithm to solve similar problems are proved.
Proceedings Article
Implementing Smart Antenna System using Genetic Algorithm and Artificial Immune System
H. Awan,K. Abdullah,M. Faryad +2 more
TL;DR: This paper proposes an application of genetic algorithm towards the implementation of two important properties of smart antenna system which are the direction of arrival detection and beamforming and incorporates the property of dasiamemorypsila from artificial immune system to make the system faster.
Journal ArticleDOI
Determination of polysilicon solar cell parameters using electrical short-circuit current decay method
TL;DR: In this article, the electrical short-circuit current decay (ESCCD) method is enlarged to a polycrystalline silicon solar cell with grains fibrously oriented, and a graphical evaluation of GB recombination velocity Sng and bulk lifetime τn is performed in the case of a BSF cell.
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