Institution
Amirkabir University of Technology
Education•Tehran, Iran•
About: Amirkabir University of Technology is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Nonlinear system & Finite element method. The organization has 15254 authors who have published 31165 publications receiving 487551 citations. The organization is also known as: Tehran Polytechnic & Tehran Polytechnic University.
Topics: Nonlinear system, Finite element method, Fuzzy logic, Artificial neural network, Nanocomposite
Papers published on a yearly basis
Papers
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TL;DR: In this article, the numerical solution of classes of fractional convection-diffusion equations with variable coefficients is solved by reducing the problem to the solution of linear algebraic equations by expanding the required approximate solution as the elements of shifted Legendre polynomials in time and the Sinc functions in space with unknown coefficients.
175 citations
TL;DR: Various numerical techniques will be developed and compared for solving the one-dimensional advection-diffusion equation with constant coefficient using the modified equivalent partial differential equation approach, developed from the 1974 work of Warming and Hyett.
175 citations
TL;DR: In this article, a review and comparison of several low voltage ride through (LVRT) capability enhancement methods for wind turbines is performed, and several modified controller based methods have been proposed for LVRT capability enhancement.
Abstract: Wind energy is rapidly growing in recent years. Among different types of wind turbines, due to several advantages, permanent magnet synchronous generator (PMSG) is attractive concept. Since the penetration level of wind power in the grid is increased, therefore, wind power can influence to the grid and vice versa. Some of the important problems in the grid are fault condition and voltage sags. These conditions may affect the operation of wind turbine. In order to enhance low voltage ride through (LVRT) capability in PMSG-based wind turbines, various approaches have been proposed in the last years. In this paper, the review and comparison of several LVRT capability enhancement methods is performed. The two foremost types of LVRT capability enhancement methods are external devices based methods and modified controller based methods. The main objectives of this paper are to introduce performances of different LVRT capability enhancement methods and use of some LVRT capability enhancement methods in PMSG based wind turbine which are applied in other kind of wind power generators. The external devices based methods can be effective but some of these methods are of significant cost. According to the literatures, modified controller based methods can reduce the LVRT capability enhancement cost. Several modified controller based methods have been proposed for LVRT capability enhancement. To compare the mentioned methods, several simulations are performed in MATLAB software. From the review of simulation results, series connection of FACTS devices and modification of back-to-back converter controllers are the highly efficient LVRT capability enhancement approaches.
175 citations
TL;DR: In this paper, the effect of some parameters such as contact time, initial concentration and pH were examined and the results showed that with increasing pH, the adsorption of cadmium ions was increased and the maximum removal, 92.4% for SPAC, was observed in pH>8.0 (C(0)=100mg/L).
175 citations
TL;DR: A number of kinetic models including fractional power, zero order, first order, pseudo-first order, Elovich, second order, intraparticle diffusion and four different linearized forms of pseudo-second order models were tested and the latter was found to be consistent with the data.
174 citations
Authors
Showing all 15352 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Ali Mohammadi | 106 | 1149 | 54596 |
| Mehdi Dehghan | 83 | 875 | 29225 |
| Morteza Mahmoudi | 83 | 334 | 26229 |
| Gaurav Sharma | 82 | 1244 | 31482 |
| Vladimir A. Rakov | 67 | 459 | 14918 |
| Mohammad Reza Ganjali | 65 | 1039 | 25238 |
| Bahram Ramezanzadeh | 62 | 352 | 12946 |
| Muhammad Sahimi | 62 | 481 | 17334 |
| Niyaz Mohammad Mahmoodi | 61 | 218 | 10080 |
| Amir A. Zadpoor | 61 | 294 | 11653 |
| Mohammad Hossein Ahmadi | 60 | 477 | 11659 |
| Goodarz Ahmadi | 60 | 778 | 17735 |
| Maryam Kavousi | 59 | 258 | 22009 |
| Keith W. Hipel | 58 | 543 | 14045 |
| Danial Jahed Armaghani | 55 | 212 | 8400 |