مقالات رزومه دکتر سید محمد صادق زاده

One of the main factors in designing drones and submarines is the appropriate choice of an electrical energy storage device as the energy source of their propulsion systems. This review paper addresses the energy storage technologies, whether battery or fuel cell, applicable in drone and submarine industries. Batteries are widely used in drones due to their lower weight and occupation space and can act as a primary or secondary power supply. Among various chemical compounds, lithium-ion and lithium polymer batteries are the most common battery technologies with a higher energy density. Although the energy density of fuel cells is much higher than that of batteries and increases flight endurance and altitude, they are not yet common in the drone industry due to the high price and volume. This feature of fuel cells has led to their usage as an energy source in the air-independent propulsion technology of submarines. Also, extreme temperature variations for drones can reduce the efficiency and lifetime of batteries and even fuel cells. Battery insulation is provided for temperature drop due to an increase in altitude, and heat management systems are provided for temperature increase due to high current flow.

Recently, the ever-increasing occurrence rate of high-impact rare (HR) natural events has attracted the attention of researchers to the effects of such incidents on power systems. Examination of available data shows that HR events have the potential to shut down a significant part of the power system and disrupt the routine life of customers. To analyze the power system behavior in the face of HR events, researchers introduced the concept of power system resiliency. Reviewing HR event types threatening Microgrids, the effects of these incidents are investigated. Then, the basic concepts and elements of resilience are discussed. Presenting a state-of-the-art review of the literature, resilience-assessment metrics are discussed and compared. Finally, resilience-improving measures for Microgrids are described. Conclusive remarks are given as well.

In this paper, a non-isolated high step-up DC-DC converter with an interleaved structure is presented that is suitable for photovoltaic energy conversion systems. In the proposed topology, coupled inductors and the switched capacitor cells have been used to increase the output voltage. Achieving this purpose is in a situation where no extreme duty cycle or high turns ratio will be required. Due to the use of the interleaved structure and equal current division in two phases, the current ripple is reduced. Also, since the voltage stress of the switches is lower than the output voltage, selecting the low-voltage rated switches and small Rds (On) reduces the conduction loss. Other advantages of the proposed converter include providing the soft-switching conditions for the power switches and alleviating the reverse recovery problem. Recycling of the leakage energy due to the presence of the coupled inductors and no need for the clamp circuits is an important feature of the proposed converter. The experimental results, using prototype 350 W, 18 V input, and 400 V output, verify the effective performance of the proposed converter.

Today, the number of micro-distribution networks is increasing. Meanwhile, for various reasons that can be justified in the field of smart grids and electricity market, the optimal operation of these microgrids is of great importance. On the other hand, the existence of high-intensity accidents has been the reason for the creation of micro-networks in many countries, which shows the importance of using multiple micro-networks to deal with these accidents. In this paper, the optimal use of interconnected microgrids to respond to normal and critical conditions is investigated. Since multiple microgrids can be connected to the main network and also to each other, so creating appropriate operating conditions while maintaining their independence is important. The purpose of this paper is to optimize network reliability. In this case, the keys between the microgrids is one of the items that are considered to provide the conditions for optimizing the microgrids. In the presence of renewable energy sources and the reliability of these sources, the simulation is performed by creating a scenario and applying it to the optimization program. The optimization objective function is performed by an evolutionary algorithm called asexual reproduction.