Mohsen Soltani

Associate Professor

Aalborg University

Denmark

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Professors in Energy Engineering

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About

Mohsen Soltani is an Associate Professor at Aalborg University in Denmark. His research areas include stochastic optimization in energy systems, control strategies for multi-port DC-DC converters, and advancements in energy hubs at the neighborhood level. He has published several articles addressing complex challenges in the integration of multi-carrier energy systems and the stability of DC microgrids.

Articles (18)

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2025

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2022

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2022

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2021

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2021

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2021

Collaborators (10)

Ahmad Arabkoohsar

Full Professor and Research Group Leader

Technical University of Denmark

DENMARK

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Mohammad Kiani-Moghaddam

Aalborg University

DENMARK

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Shahriar Farajdadian

Aalborg University

DENMARK

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Amin Hajizadeh

Aalborg University

DENMARK

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Erik Schaltz

Aalborg University

DENMARK

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Haonan Tian

Aalborg University

DENMARK

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Zhengyu Lin

Reader

Loughborough University

UNITED KINGDOM

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Mehdi Savaghebi

University of Southern Denmark

DENMARK

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Yunlong Wang

University of Southern Denmark

DENMARK

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Mahdi Shahparasti

University of Vaasa

FINLAND

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Mohsen Soltani

Research Interests

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About

Articles (18)

Robust Control of Modular Multiport DC-DC Converter

A bi-level, many-objective stochastic optimization model for handling simultaneous uncertainties in the operation of multi-carrier integrated energy systems: A hospital case study

A review of optimization efforts on neighborhood-level energy hubs

Robust μ- Optimal Control Synthesis for Modular Multi-Port DC-DC Converter

Real-Time Emulation of Reversible Solid Oxide Electrolyzer's Electrical Behavior for Rapid-Prototyping of Power Electronics

Recent developments of multiport DC/DC converter topologies, control strategies, and applications

Output-Feedback Saturated Control of DC-DC Converters With Unknown Independent Loads

A review of neighborhood level multi-carrier energy hubs—uncertainty and problem-solving process

Sensorless Control of a Single-Phase AC-DC Boost Converter without Measuring Input Voltage and Current

Review of floating wind turbine damping technology

EMD/HT‐based local fault detection in DC microgrid clusters

Local Fault Location in Meshed DC Microgrids Based On Parameter Estimation Technique

A Machine Learning Method for Modeling Wind Farm Fatigue Load

Locating high-impedance faults in DC microgrid clusters using support vector machines

Active Load Stabilization of Cascaded Systems in DC Microgrids Using Adaptive Parallel-Virtual-Resistance Control Scheme

DC Fault Current Analyzing, Limiting, and Clearing in DC Microgrid Clusters

Overcoming the Detectability Obstacle in Adaptive Output Feedback Control of DC–DC Boost Converter With Unknown Load

Attitude stabilization of Marine Satellite Tracking Antenna using Model Predictive Control

Collaborators (10)

Ahmad Arabkoohsar

Mohammad Kiani-Moghaddam

Shahriar Farajdadian

Amin Hajizadeh

Erik Schaltz

Haonan Tian

Zhengyu Lin

Mehdi Savaghebi

Yunlong Wang

Mahdi Shahparasti

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