Behzad Kazemtabrizi

Associate Professor

University of Durham

United Kingdom

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Behzad Kazemtabrizi is an Associate Professor at Durham University, UK. His research focuses on advanced modeling and optimization techniques for power systems, including wind-hydro hybrid systems, microgrid management, and machine learning applications in energy scenarios. Recent articles by Dr. Kazemtabrizi explore topics such as real-time power management, frequency stability constraints, and innovative approaches to peer-to-peer energy trading.

Articles (12)

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2025

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2025

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2025

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2024

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2023

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2022

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (4)

Mahmoud Shahbazi

Associate Professor

University of Durham

UNITED KINGDOM

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Hongjian SUN

Professor (Chair)

University of Durham

UNITED KINGDOM

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Matthias C. M. Troffaes

University of Durham

UNITED KINGDOM

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Cuong Dao

Assistant Professor

University of Bradford

UNITED KINGDOM

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Behzad Kazemtabrizi

Research Interests

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Articles (12)

A novel two-stage framework to improve the flexibility of grid connected wind-hydro power system in real-time operation

Convex Flexible Branch Model (CFBM): Convex model for solving AC/DC hybrid networks optimal power flows

Data-driven estimation of the amount of under frequency load shedding in small power systems

A novel data-driven tighten-constraint method for wind-hydro hybrid power system to improve day-ahead plan performance in real-time operation

Inclusion of frequency nadir constraint in the unit commitment problem of small power systems using machine learning

Real‐time resilient microgrid power management based on multi‐agent systems with price forecast

Statistical evaluation of wind speed forecast models for microgrid distributed control

Inclusion of frequency stability constraints in unit commitment using separable programming

Closest Energy Matching: Improving peer‐to‐peer energy trading auctions for EV owners

Universal branch model for the solution of optimal power flows in hybrid AC/DC grids

Offshore wind turbine reliability and operational simulation under uncertainties

An economic model for offshore transmission asset planning under severe uncertainty

Collaborators (4)

Mahmoud Shahbazi

Hongjian SUN

Matthias C. M. Troffaes

Cuong Dao

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