Assoc. Prof. Dr Saeed Zolfaghari Moghaddam, Urmia University of Technology, Iran
Dr. Saeed Zolfaghari Moghaddam is an esteemed academic in Electrical Engineering, specializing in power systems planning, renewable energy, and power market dynamics. 📚⚡ He earned his PhD from Amirkabir University, MSc from Tehran University, and BSc from Iran University of Science and Technology. His research includes advanced methods in smart grids, electric vehicle charging, and microgrid stability. 🔋🌍 Dr. Moghaddam has authored numerous high-impact journal articles and led industrial projects in power system automation and electromagnetic compatibility. A dedicated educator, he teaches courses in electrical machines, smart grids, and power system planning. 🎓✨
Publication Profile
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Educational Background
Assoc. Prof. Dr. Saeed Zolfaghari Moghaddam is a distinguished academic with expertise in electrical engineering. He earned his PhD in Power Engineering from Amirkabir University of Technology, Tehran, Iran 🇮🇷. Prior to this, he completed his MSc in Power Engineering from the University of Tehran and his BSc in Electronics Engineering at the Iran University of Science and Technology, Tehran. Dr. Moghaddam has made significant contributions to the field of power systems and electronics, leveraging his academic background to advance research and innovation in electrical engineering. ⚡📚
Research Interests
Assoc. Prof. Dr. Saeed Zolfaghari Dr. Moghaddam specializes in renewable energy, power systems planning, and reliability. His research focuses on optimizing power markets, ensuring sustainable and reliable electricity distribution. With expertise in electrical apparatus design and industrial automation, Dr. Zolfaghari also works on advanced system calculations, including load flow and short-circuit analysis. His contributions to the technical side of power systems play a vital role in improving efficiency and sustainability within the energy sector. 🌍💡🔧
Teaching Contributions
Assoc. Prof. Dr. Saeed Zolfaghari is a distinguished academic in electrical engineering, having taught a wide array of undergraduate and graduate courses. His expertise spans subjects such as Electrical Machines, Power Systems Analysis, Smart Grid Control, and Engineering Mathematics. With a strong commitment to education, he plays a vital role in shaping the next generation of engineers and researchers. His passion for teaching and advancing the field highlights his dedication to nurturing students’ skills and fostering a deep understanding of complex engineering concepts. Dr. Zolfaghari’s influence continues to inspire both students and colleagues.
Industrial Projects
Assoc. Prof. Dr. Saeed Zolfaghari is a distinguished researcher with significant contributions to industrial projects. His work spans various fields, including grounding in military systems, DG-connected substation automation, and optimizing Combined Heat and Power (CHP) and Photovoltaic (PV) capacities. Dr. Zolfaghari’s expertise lies in applying cutting-edge research to address complex engineering challenges, delivering practical solutions with real-world impact. His achievements highlight his role in shaping innovative solutions within the engineering and energy sectors. Through these projects, Dr. Zolfaghari continues to bridge the gap between academic research and industrial applications. 💡🔧🌱
Research Focus
Assoc. Prof. Dr. Saeed Zolfaghari Moghaddam’s research primarily focuses on energy systems, optimization techniques, and power networks, particularly in the context of renewable energy integration and grid planning. His work includes stochastic and robust optimization, wind energy integration, transmission and distribution expansion planning, and game theory applications in electrical networks. Dr. Moghaddam’s expertise also extends to heat transfer enhancement in distribution transformers and multi-stage stochastic planning under uncertainties. His contributions have significant implications for energy efficiency and sustainable power systems. 🌍⚡🔋📊
Publication Top Notes
Network-constrained optimal bidding strategy of a plug-in electric vehicle aggregator: A stochastic/robust game theoretic approach
Generation and transmission expansion planning with high penetration of wind farms considering spatial distribution of wind speed
Bilevel transmission expansion planning using second-order cone programming considering wind investment
A new method to adequate assessment of wind farms’ power output
Multi-stage stochastic transmission expansion planning under load uncertainty using benders decomposition
Coordinated scheme for expansion planning of distribution networks: A bilevel game approach
Heat transfer enhancement in distribution transformers using TiO2 nanoparticles