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Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 1

Research Activity Overview

Energy Systems Research Workshop – Research Talk

Amir Masoumi (Amir H Abolmasoumi)

Postdoctoral Fellow – Winston Chung Global Energy Center

University of California, Riverside

Research Activity Overview

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My History

Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 2

Research Activity Overview

Energy Systems Research Workshop – Research Talk

  • PhD in Electrical Engineering : Control Systems

Tarbiat Modares University, Tehran, Iran, 2012.

Education

  • Control Engineering Faculty, Arak University, Arak, Iran, 2015-2023.

Academic Career

  • Visiting Scholar, Virginia Tech, North Virginia Center, Falls Church, 2020.
  • Senior Lecturer and Researcher, Ecole Centrale de Nantes, Nantes, France, 2023-2025.

General Areas of Interest

  • Dynamic State Estimation
  • Robust and Nonlinear Control
  • Power Systems Dynamics and Control

Powering System flexibility in the Future through Renewable Energy Sources.

Master in Dynamics of renewables-based power systems

  • Research Fellow, UCR-WCGEC, Sep 2025-present.

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My Research Topics

Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 3

Research Activity Overview

Energy Systems Research Workshop – Research Talk

  • State Estimation and Its Application in Power Systems

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  • Data-driven Modeling and Its Application in Power System

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  • Advanced Control of Inverter-based Resources (IBRs)

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State Estimation and Its Application in Power Systems

Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 4

Research Activity Overview

Energy Systems Research Workshop – Research Talk

  • Robust State Estimation Theory
  • Noises are assumed to be white zero-mean or with known pdf

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  • KF is not robust against outliers

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  • Statistically robust filter: Robust against outliers and non-Gaussian noise contaminations.

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  • Engineering applications:

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  • Missing measurements,
  • Outliers among measurements,
  • Outliers within process noise (model failure/computation errors), cyber-attacks

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How Robust State Estimation Methods works?

Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 5

Research Activity Overview

Energy Systems Research Workshop – Research Talk

  • Robust Kalman filters change the update step through calculating different Gain K

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K

 

 

K

 

A Shweppe-type Generalized Maximum Likelihood Objective Function

  • Robust Particle filters try to reconstruct the particle weights when innovation terms increase as a result of outliers.

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My Works on Robust State Estimation in Power Systems

Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 6

Research Activity Overview

Energy Systems Research Workshop – Research Talk

  • Robust Fusion UKF for Bus Frequency Estimation in Power Systems

- Farahani, Ali, A. Abolmasoumi, L. Mili et al. "A robust fusion bus frequency estimation method to improve frequency oscillation damping in power systems." IET Generation, Transmission & Distribution (2023).

  • Robust Particle Filter for Power System

- Abolmasoumi, Amir Hossein, Ali Farahani, and Lamine Mili. "Robust particle filter design with an application to power system state estimation." IEEE Transactions on Power Systems (2023).

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Data-driven Modeling: Dynamic Mode Decomposition

Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 7

Research Activity Overview

Energy Systems Research Workshop – Research Talk

  • DMD is an equation-free, data-driven method capable of providing an accurate decomposition of a complex system into spatiotemporal structures.
  • If the real plant is nonlinear DMD discovers an approximation to Koopman Operator.

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  • Define:
  • Koopman Operator Theory

 

 

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Research Works on Data-driven Modeling

Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 8

Research Activity Overview

Energy Systems Research Workshop – Research Talk

Prediction

Load Forecasting

Amir Mansouri, Amir H. Abolmasoumi, and Ali A. Ghadimi. "Weather sensitive short term load forecasting using dynamic mode decomposition with control." Electric Power Systems Research (2023).

Control

HVDC Control, PSS, FACTS, MG control

Peng, Long, et al. "AC/DC Hybrid Power System Damping Control Based on Estimated Model Predictive Control Considering the Real-time LCC-HVDC Stability." IEEE Transactions on Power Systems (2023).

Diagnostics

Cyber attack detection, Islanding detection, …

E. Mobini, A.. Abolmasoumi and A. Daeichian, “Online Model-free Cyber Attack Detection in Smart Grid using Dynamic Mode Decomposition”, IEEE Transactions on Network Science and Engineering (2024).

Robust DMD

Discovering Dynamics for outlier-contaminated measurements

Amir H. Abolmasoumi, et al. "Robust Dynamic Mode Decomposition." IEEE Access (2023).

E. Mobini, A.. Abolmasoumi and A. Daeichian, “Data-driven model predictive control of nonlinear systems using dynamic mode decomposition”, International Journal of System Science (2025).

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Control of HVDC by MPC and a DMD-driven model

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Control of a highly nonlinear system using online DMD and MPC

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Cyber-attack detection in smart grids using the variations in the model discovered by online DMD

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Advanced Control of Inverter-based Resources (IBRs)

Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 9

Research Activity Overview

Energy Systems Research Workshop – Research Talk

  • Ongoing Work: PMSG with grid-connected inverter for wind applications

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  • The work is a part of POSYTYF (Power System Flexibility in the Future through Renewable Energy Sources) an EU Horizon 2020 project.
  • POSYTYF is concerned with the concept of Dynamic Virtual Power Plant (DVPP) for IBR-rich power grids.
  • Power injection control of individual IBRs in grid-following and grid-forming operations are considered.

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Control of Grid-connected IBR with LCL Filter

Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 10

Research Activity Overview

Energy Systems Research Workshop – Research Talk

  • The goal is to control the injected active/reactive power in grid-following mode for supporting the grid.
  • Conventional vector control (cascade PI controllers) is shown to have performance issues such as non-satisfactory tracking and lack of robustness.
  • Medium and high frequency oscillations (MHFOs) are observed in injected power and currents leading to high THD.
  • By tuning loop-shaping weights and Kalman filter we achieve:

Control objectives :

 

  • Lower THD (30-50% improvement)
  • Avoiding saturation within modulating signals
  • Robustness against disturbances

 

Control of Three-Phase LCL grid-connected inverter

States:

Control inputs :

Disturbances :

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Control of Grid-connected IBR with LCL Filter

Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 11

Research Activity Overview

Energy Systems Research Workshop – Research Talk

  • V. Kuruva, A. Abolmasoumi, et. al., “Robust Loop-Shaping Control for Medium-High Frequency Oscillations Mitigation in Grid-Connected Converters with Effective Hardware Implementation”, IEEE Transactions on Power Delivery 2026.
  • V. Kuruva, A. Abolmasoumi, et. al., “Robust H∞ Control of PMSG based Wind Energy System Based on a Dual-purpose Kalman Filter“, ISGT Europe, 2025.
  • V. Kuruva, A. Abolmasoumi, et. al. , A Robust H∞ Control Based on LMI for PMSG-based Grid-connected Wind Energy System. ISGT 2024.
  • V. Kuruva,, A. Abolmasoumi, et al. Design and experimental implementation of a robust H∞ control for LCL grid-connected converter. IFAC 2024.

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Amir Masoumi, Postdoctoral Fellow – WCGEC

January 2026 12

Research Activity Overview

Energy Systems Research Workshop – Research Talk

Thank you for your attention…

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Any Questions?

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