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A three diode model for industrial solar cells and estimation of solar cell parameters using pso algorithm

RENEWABLE ENERGY 2015年 78卷 105-113页

作者： Khanna, Vandana Das, B. K. Bisht, Dinesh Vandana Singh, P. K. ITM Univ Gurgaon 122017 India JIIT Univ Noida 201307 India CSIR Natl Phys Lab Network Inst Solar Energy New Delhi 110012 India

A new lumped-parameter equivalent circuit model using three-diodes is presented in this work for large area (similar to 154.8 cm(2)) industrial silicon solar cells. The estimation of values of ideality factors n(1) (>1) and n(2) (>2) using a Particle Swarm Optimization (pso) algorithm for the two-diode model of the industrial samples has been found not to be in conformity with the theoretical values (n(1) = 1 and n(2) = 2 in the literature). The two diodes of the two-diode model are not able to define the different current components of the solar cells clearly. A model with three-diodes has been proposed to better explain the experimental data. In the proposed model, we considered the series resistance, R-s, of the solar cell to vary with the current flowing through the solar cell device. All the parameters of the proposed model have been estimated using a pso algorithm and they were compared with the parameters of the two-diode model. The new model has been found to be a better model to define clearly the different current components of the large size industrial silicon solar cells. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Solar cell pso algorithm Parameter estimation Two-diode model Three-diode model

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An Improved Interval pso algorithm with Dynamic Shrinking

An Improved Interval PSO Algorithm with Dynamic Shrinking

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第28届中国控制与决策会议

作者： Shou-ping Guan You-dong Zhang College of Information Science and Engineering Northeastern University

ISBN: (纸本)9781467397155

Considering the slow convergence problem of conventional interval particle swarm optimization algorithm based on static shrinking strategy(SIpso),this paper proposes a new dynamic shrinking strategy to form a new interval particle swam optimization algorithm(DIpso) to improve the SIpso,which can make the interval shrinking more flexible and be conducive to the quick *** simulation results show that the efficiency of DIpso is superior to SIpso,and demonstrate the improvement for SIpso is effective

关键词： Interval optimization pso algorithm Dynamic shrinking

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Inverse boundary design radiation problem with radiative equilibrium in combustion enclosures with pso algorithm

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INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER 2015年 68卷 150-157页

作者： Payan, S. Farahmand, A. Sarvari, S. M. Hosseini Univ Sistan & Baluchestan Dept Mech Engn Zahedan 98135161 Iran Shahid Bahonar Univ Kerman Dept Mech Engn Kerman 76175133 Iran

An inverse analysis is employed to estimate the unknown heat flux distribution over the heater surface of two dimensional enclosures with regular and irregular geometries filled by non-gray participating media, from the knowledge of desired temperature and heat flux distributions over the given design surface. The medium is in radiative equilibrium. The radiative transfer equation is solved by the modified discrete ordinates method combined with two models for simulation of non-gray media. The inverse solutions are compared by using two approaches;the conjugate gradient method (CGM) and the particle swarm optimization (pso) algorithm. The pso algorithm shows accurate and reliable results in regular geometry with high optical thickness. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Non-gray media Inverse boundary design pso algorithm

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Modeling MEA with the CPA equation of state: A parameter estimation study adding local search to pso algorithm

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FLUID PHASE EQUILIBRIA 2015年 400卷 76-86页

作者： dos Santos, Leticia Cotia Tavares, Frederico Wanderley Ruiz Ahon, Victor Rolando Kontogeorgis, Georgios M. Petrobras Ctr Pesquisas & Desenvolvimento CENPES BR-21941915 Rio De Janeiro RJ Brazil Univ Fed Rio de Janeiro COPPE Programa Engn Quim BR-21945970 Rio De Janeiro RJ Brazil Univ Fed Rio de Janeiro Escola Quim BR-21949900 Rio De Janeiro RJ Brazil Univ Fed Fluminense Dept Engn Quim & Petroleo BR-24210240 Niteroi RJ Brazil Tech Univ Denmark Dept Chem & Biochem Engn Ctr Energy Resources Engn DK-2800 Lyngby Denmark

Due to the intensification of environmental constrains combined with the tendency to process crude oils with high C/H, S/H ratios and natural gas with increasing CO2/CH4 and H2S/CH4 ratios, acid gas removal from gas streams is probably the most required process in the petroleum and gas industries nowadays. Absorption with aqueous alkanolamines such as MEA, is one commonly used process for this purpose. On modeling MEA with CPA, it has been shown that only the co-volume b parameter does not present local minima near the final solution and, also, VLE data are not sufficient to estimate reliable parameters for MEA. This work proposes adding LLE information systematically in the CPA parameter estimation procedure. At first, the parameter search space is defined by the results from the pso sensitivity analysis for VLE considering the experimental error for vapor pressures and liquid densities (objective function cut off). Then, two possible methodologies are discussed: the first one uses all the possible parameter sets and check them against the LLE and VLE experimental data. The second method explicitly incorporates LLE information into the objective function and uses both pso and pso-simplex hybrid algorithm to improve the convergence and refine the final solution. With this methodology it was possible to model simultaneously LLE and VLE. The CPA was then applied for a mixture containing cross-association (MEA-water) and the results show good agreement with experimental data indicating the effectiveness of the proposed strategies. (C) 2015 Elsevier B.V. All rights reserved.

关键词： MEA Cubic plus association (CPA) Parameter estimation pso algorithm VLE LLE

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Optimal reactive power control of DGs for voltage regulation of MV distribution systems using sensitivity analysis method and pso algorithm

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2015年 68卷 52-60页

作者： Zad, B. Bakhshideh Hasanvand, H. Lobry, J. Vallee, F. Univ Mons Dept Elect Power Engn Fac Polytech B-7000 Mons Belgium TREC Tehran Iran

This paper addresses the problem of reactive power control of distributed generation (DG) units in the medium voltage (MV) distribution systems to maintain the system voltages within the predefined limits. An efficient approach for the load flow calculation is used here which is based on the topological structure of the network. It has been formulated for the radial distribution systems. A direct voltage sensitivity analysis method is developed in this paper which is also based on the topological structure of the network and independent of the network operating points. Thus, the sensitivity matrix is calculated once with the load flow program and it is used in all the system working conditions. The problem of DGs reactive power control is formulated as an optimization problem which uses the sensitivity analysis for linearizing the system around its operating points. The objective of the optimization problem is to return the system voltages inside the permitted range by using the reactive power of DGs in an optimal way. The optimal solutions are obtained by implementing particle swarm optimization (pso) algorithm. Then, the results are verified by running a load flow considering new values of DGs reactive power. The procedure is repeated as long as a voltage violation is observed. Simulation results reveal that the proposed algorithm is capable of keeping the system voltages within the permitted limits. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Distributed generation units Voltage control Reactive power control Sensitivity analysis pso algorithm

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Research and Realization of Building the Three-dimensional Runway of Unity3D Game Based on pso algorithm 4

Research and Realization of Building the Three-dimensional R...

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4th International Conference on Computer Science and Network Technology (ICCSNT)

作者： Chen, Linghong Huang, Xiaojun Beijing Univ Posts & Telecommun Dept Informat & Commun Engn Beijing Peoples R China

ISBN: (纸本)9781467381734

A new solution for the construction of 3D Runway based on pso algorithm and Unity 3D game engine is presented in this paper. Compared with the traditional runway construction, this solution can build rich scene interface with less scene resources by the application of pso algorithm and the construction of Unity3D engine. Experiment has proved that the scheme can generate the scene reasonably which has highly entertainment value. It can realize the random and regular patterns of the scene. The scheme has proved that it can optimize the scene loading process and improve the users' experience.

关键词： Unity3D pso algorithm Three-dimensional runway

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Optimal Allocation of Reactive Power Considering Voltage Stability Using pso algorithm 20

Optimal Allocation of Reactive Power Considering Voltage Sta...

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20th Electrical Power Distribution Conference (EPDC)

作者： Mohammadi, Fazel Alizadeh, Behnam Lahijan IAU Dept Elect & Elect Engn Elect Engn Lahijan Iran Sahand Pars Co Rasht Iran Islamic Azad Univ Lahijan Branch Dept Elect Engn Elect Engn Lahijan Iran

ISBN: (纸本)9781467366120

This paper has presented a model for optimal allocation of reactive power in which, besides keeping the voltage range in its permissible one, voltage stability constraint during operation has also been taken care of. Cost functions of static compensators are used. The reactive power amount for generators, tap changes of transformers and their cost are provided and, additionally, active and reactive power of generators has been determined. In this method, active market results are presumed to be constant except for slack Bus generator. And, changes and increases in network load are also being taken into consideration during operation.

关键词： Active Power pso algorithm Power System Reactive Power Voltage Stability

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Comparison of RSM, ANN and pso algorithms to Predict the Porosity Level of Twin Wire Arc Sprayed Aluminium Coatings on AZ31B Magnesium Alloy

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International Journal of Vehicle Structures and Systems 2024年第3期16卷 390-395页

作者： Kumar, L. Govind Sanjeev Thirumalaikumarasamy, D. Karthikeyan, K. Mathanbabu, M. Elango, E. Penmetsa, Ravi Varma Dept. of Mfg. Engg Annamalai Uni Tamil Nadu Chidambaram India Dept. of Mech. Engg. Gujarat Inst. Desert Ecology Gujarat Bhuj India Dept. of Mech. Engg. Govt. College of Engg Tamil Nadu Bargur India Dept. of Mech. Engg Annamalai Uni Tamil Nadu Chidambaram India Dept. of Mech. Engg Sagi Rama Krishnam Raju Engg. College Andhra Pradesh Bhimavaram India

The twin wire arc spray method (TWAS) is one among the efficient methods that is widely recognised and utilised for protecting components in surface coating technology due to its economic viability and adaptability. The quality of coating obtained in TWAS is excellent and the porosity is very low in comparison to other conventional methods. The TWAS spray parameters were optimized by single response optimization to obtain the minimum porosity utilizing statistical tools such as DOE and response surface methodology (RSM). Investigations focused on the influence of power, gas pressure and standoff distance. The analysis was done by three factors and five stages of analysis in the central composite design (CCD). The lowest porosity (1.21%) was obtained at optimum conditions of 5 kW power, 3.5 bar air pressure and 200mm stand-off distance, respectively, for TWAS coatings. The RSM, ANN and pso is utilized to optimise the constructed model. The optimized value obtained through pso and ANN were compared with the RSM. ANN gives a superior outcome when comparing pso and RSM. It is validated by the response and contour plots in order to assist in selecting the spray parameters. The obtained results indicate that the coating porosity depends mostly on the arc current. © 2024. Carbon Magics Ltd.

关键词： Aluminium feedstock AZ31B Magnesium alloy pso algorithm Response surface method Twin wire arc spray

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Fuzzy Fractional PID Controller Tuned through a pso algorithm

Fuzzy Fractional PID Controller Tuned through a PSO Algorith...

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11th Portuguese Conference on Automatic Control

作者： Jesus, Isabel S. Barbosa, Ramiro S. Polytech Porto ISEP IPP GECAD Knowledge Engn & Decis Support Res Ctr Dept Elect Engn Inst Engn Oporto Portugal

ISBN: (纸本)9783319103792

The differentiation of non-integer order has its origin in the seventeen century, but only in the last two decades appeared the first applications in the area of control theory. In this paper we consider the development of an optimal fuzzy fractional PD beta+I controller in which the parameters are tuned by a particle swarm optimization (pso) algorithm. Several simulations are presented assessing the performance of the proposed controller.

关键词： fractional calculus fuzzy fractional PID control systems pso algorithm optimization

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Improved Regularization based Blind Image Deconvolution using pso algorithm for PMMW Images Application 9

Improved Regularization based Blind Image Deconvolution usin...

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9th Iranian Conference on Machine Vision and Image Processing (MVIP)

作者： Mansoori, M. A. Mosavi, M. R. Bisjerdi, M. H. Iran Univ Sci & Technol Dept Elect Engn Tehran *** Iran

ISBN: (纸本)9781467385398

Blind deconvolution algorithms in image processing estimate the original image and the true Point Spread Function (PSF) simultaneously with prior information about the PSF or the original image. This is an ill- posed problem and requires regularization to be solved. In addition to the type of regularization functions, the value of regularization parameters can drastically affect the output result. In this paper, we propose a Particle Swarm Optimization (pso) algorithm for selecting optimum values of regularization parameters in blind image deconvolution. The algorithm has been tested on standard images and then compared with non- improved ones, in terms of three standard metrics. A real Passive Millimeter Wave (PMMW) image blurred by an unknown PSF is also used in this algorithm to obtain a sharp deblurred image with an estimate of the PSF. Simulation results show that the proposed method improves the quality of the estimated PSF and the deblurred image.

关键词： Blind deconvolution pso algorithm PSF estimation PMMW images regularization parameter

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