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Showing 4 results for Forouzanfar
Mehdi Zangeneh, Dr. Ebrahim Aghajari, Dr. Mehdi Forouzanfar, Volume 8, Issue 3 (12-2019)
Abstract
Today, the widespread use of fuzzy controllers in electrical systems, especially, systems includes nonlinear and uncertainty terms, which are rapidly increasing. Indeed, the design of a desirable fuzzy inference system requires the correct selection of the type, number, and scope of membership functions due to fuzzifying the input and output variables of the system. But so far, no research or structural method has been introduced for the correct selection of membership functions and exclusively has been based on trial and error of the designer of the system. Considering the importance of this issue, the current paper investigated a comprehensive review of the membership functions selection in articles related to electrical systems. Finally, based on the articles reviewed and the categories carried out, suggestions for optimal selection of membership functions are presented based on the applications of electrical systems.
Mortezaa Mozaffari, Dr. Ebrahim Aghajari, Dr. Mehdi Forouzanfar, Volume 8, Issue 4 (2-2020)
Abstract
The active-frequency and reactive-voltage droop control method is one of the most widely used decentralized control methods in island-controlled microgrids. With the active-frequency droop control, it can be used to divide the exact active power between distributed energy sources, but the reactive-voltage droop, due to the high dependence on the line impedance and the load rate, often makes it worse to divide the reactive power between resources. Another challenge of the droop control is the frequency deviation and voltage mediated by load changes. In this paper, a new independent method for accurate account of reactive power between the distributed energy resources and the recovery of the micro-grid frequency has been provided. The proposed method improves the reliability and simplicity of the network. Simulation results show that the performance accuracy of the proposed method is especially about the correct splitting of reactive power and retrieval of the network frequency, as the difference in the reactive power of resources is reduced from approximately 1200 to 700 var and the network frequency is maintained on 314 radians per second.
Mr. Hossein Safaeipour, Dr. Mehdi Forouzanfar, Dr. Amin Ramezani, Volume 11, Issue 1 (5-2022)
Abstract
1, *2, 3
1-Ph.D. student,
*2-Assistant Professor, Department of Electrical Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran, m.forouzanfar@iauahvaz.ac.ir
3- Assistant Professor, .
In chemical closed-loop processes, interconnected industrial tanks are described by nonlinear dynamic models, sometimes under simultaneous Gaussian and non-Gaussian perturbations. Timely detection of simultaneous pipe jamming and tank leakage incipient faults is a concern of this art. In this work, a new incipient fault detection approach is proposed for application in such a system. First, the state vector is estimated using an accurate mathematical model and controller model. Then, the primary residual signal is generated using the measurements and the estimated states. Next, the generated residual signal is processed using statistical features, such as the autocorrelation test. After that, by an adaptive either fixed threshold applied in the online monitoring devised with the introduced evaluation technique, while the fault detectability is improved, the false detection problem is restricted to the system permitted number. Finally, in order to evaluate the proposed approach, the simultaneous fouling incipient fault diagnosis over the heat transfer unit built-in nonlinear closed-loop three-vessel tank system DTS200 is considered. For quantitative evaluation of the simulation results, the confusion matrix, related evaluation indices, and F1-score have been calculated.
Peyman Tabakhnejad, Dr. Alireza Tavakoli, Dr. Mehdi Forouzanfar, Volume 13, Issue 1 (5-2024)
Abstract
In modern power grid structure, solar power generation has grown extensively. Due to the output fluctuations and the inability to store energy, the power provided by RESs is variable; Therefore, using energy storage devices along with them is inevitable. Energy storage devices used for power management in systems based on renewable energy sources. In this paper, an off-grid DC system including photovoltaic unit and hybrid battery-supercapacitor energy storage was studied. Each of units is connected to the DC link through DC-DC converters. In such a system, it is essential to use a suitable control strategy in order to maintain the power balance between the photovoltaic, energy storages and load demand. For this purpose, a new control strategy for energy management and maintaining power balance in DC link is presented in this paper, which controls voltage fluctuations caused by load and source changes, using the high accuracy of delta sigma modulators. The effectiveness of the proposed strategy is validated through simulation under five different scenarios, taking into account all possible modes of changes, including stepwise increase or decrease in load or resource production. The results indicate the better performance of the proposed method in terms of maximum range of oscillation in all investigated modes.
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