Behdad Arandian

Behdad Arandian
Amirkabir University of Technology | TUS · Department of Electrical Engineering

PhD

About

14
Publications
1,422
Reads
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120
Citations
Introduction
Experienced faculty member with a demonstrated history of working in the higher education industries. Skilled in Research and Development (R&D), mathematical modeling, optimization, Matlab, and Maxwell. Strong education professional with a Doctor of Philosophy (PhD) focused in power engineering from Amirkabir University of Technology (Tehran Polytechnic). For more information, please visit "arandian.iauda.ac.ir"
Education
August 2012 - August 2017
Amirkabir University of Technology
Field of study
  • Optimization of Generation, Transmission, and Consumption of Total Energy Systems with Consideration for Uncertainty and Environmental Emission
August 2010 - August 2012
University of Isfahan
Field of study
  • Reconfiguration of Distribution Network in Deregulated Environment in the Presence of DGs
August 2006 - August 2010
University of Kashan
Field of study
  • Modeling and Analysis of Three-Phase Induction Machine in Maxwell Software

Publications

Publications (14)
Article
Full-text available
This study proposes a new metaheuristic optimization algorithm, namely the white-tailed eagle algorithm (WEA), for global optimization and optimum design of retaining structures. Me-taheuristic optimization methods are now broadly implemented to address problems in a variety of scientific domains. These algorithms are typically inspired by the natu...
Article
Full-text available
Energy has been one of the most important topics of political and social discussion in recent decades. A significant proportion of the country’s revenues is derived from energy resources, making it one of the most important and strategic macro policy and sustainable development areas. Energy demand modeling is one of the essential strategies for be...
Article
Full-text available
Renewable energy is becoming more popular due to environmental concerns about the previous energy source. Accurate solar photovoltaic (PV) system model parameters substantially impact the efficiency of solar energy conversion to electricity. In this matter, swarm and evolutionary optimization algorithms have been widely utilized in dealing with pra...
Article
Full-text available
Due to utilizing electric vehicles, distributed generations and energy storage units in the distribution networks, it is crucial to present a robust energy management to minimize total cost of the network with associated uncertainties including electrical demand, energy prices, behavior of electric vehicles, and renewable distributed generations. I...
Article
Full-text available
This paper presents a new approach for the coordinated design of a power system stabilizer- (PSS-) and static VAR compensator- (SVC-) based stabilizer. For this purpose, the design problem is considered as an optimization problem, while the decision variables are the controllers’ parameters. This paper proposes an effective optimization algorithm b...
Article
Full-text available
Cloud computing is a rapidly evolving computational technology. It is a distributed computational system that offers dynamically scaled computational resources, such as processing power, storage, and applications, delivered as a service through the Internet. Virtual machines (VMs) allocation is known as one of the most significant problems in cloud...
Article
Full-text available
This paper is proposed a modified sperm swarm optimization algorithm (MSSO) for numerical function optimization and optimal design of damping controller in power system. To provide a fine balance between the explorative and exploitative behavior, MSSO utilizes a chaotic velocity damping factor. In addition, the proposed method considers a reasonabl...
Article
Full-text available
The COVID-19 epidemic is spreading day by day. Early diagnosis of this disease is essential to provide effective preventive and therapeutic measures. This process can be used by a computer-aided methodology to improve accuracy. In this study, a new and optimal method has been utilized for the diagnosis of COVID-19. Here, a method based on fuzzy C-o...
Article
Full-text available
This paper presents a novel optimization model for the flexible-reliable operation (FRO) of energy hubs (EHs) in electricity, natural gas, and district heating networks. To achieve flexible EH in the presence of renewable energy sources (RESs) and combined heat and power (CHP) system, energy storage systems (ESS) and incentive-based demand response...
Article
Full-text available
In recent years, zero-carbon energy resources such as adiabatic compressed air energy storage with thermal energy storage have been interested due to growing concerns over global warming. This study proposes a microenergy grid including heat and power networks connected through adiabatic compressed air energy storage with thermal energy storage, wh...
Article
Full-text available
Skin cancer is one of the most common types of cancers that is sometimes difficult for doctors and experts to diagnose. The noninvasive dermatoscopic method is a popular method for observing and diagnosing skin cancer. Because this method is based on ocular inference, the skin cancer diagnosis by the dermatologists is difficult, especially in the e...
Article
Combined heat and power (CHP) units are efficient from view point of source energy, however, for maximum utility company economic profit, it is necessary to account for all revenues and expenditures. The goal of this study is to examine the effects of considerations for environmental emissions in optimal combination and allocation of renewable and...
Article
Benefiting from favorable operational efficiencies, photovoltaic-thermal (PVT) technology is considered as a viable alternative for combined heat and power (CHP) distributed generation; however, the realization of a full economic profit requires allocation optimization in terms of placement and size in integrated heat and electricity distribution n...
Article
Distribution system companies (DISCOs) try to pay less to energy markets by reducing energy loss in their networks. Reconfiguration is one of the most economic ways to reach that goal. The objective of this study is to present a new method for reducing DISCO costs in deregulated environment by loss reduction and power generation control of Distribu...

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Projects

Projects (2)
Project
Due to utilizing electric vehicles, distributed generations and energy storage units in the distribution networks, it is crucial to present a robust energy management to minimize total cost of the network with associated uncertainties including electrical demand, energy prices, behavior of electric vehicles, and renewable distributed generations. In this robust optimization, distribution network power flow, technical constraints such as bus voltage limits and transmission line limits, equations governing electric vehicles, energy storage units, and distributed generations are considered as the optimization constraints. Since the problem is nonlinear, achieving the absolute optimum with a fast resolve requires a linear model with a very low calculation error.
Project
Applying new algorithms for optimization in various fields