Shahrokh Akhlaghi

Secretary of Ieee Task Force on Power System Dynamic State and Parameter Estimation @Ieee Power & Energy Society

Little Rock, AR, US
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WORK HISTORY

Jul 2017 — Present

Secretary of Ieee Task Force on Power System Dynamic State and Parameter Estimation @Ieee Power & Energy Society

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The widespread deployment of synchrophasor measurement units on power transmission grids has made possible the real-time monitoring and control of power system dynamics. However, these functions cannot be reliably achieved without the development of a fast and robust dynamic state estimator (DSE). Indeed, the estimated synchronous machines state variables can be used by power system stabilizers, automatic voltage regulators, and under-frequency relays to enhance small signal stability and to initiate generation outages and load shedding during transient instabilities, etc. During the 2017 Power Engineering General Meeting held at Chicago, the Working Group on State Estimation Algorithms decided to form a task force on “Power System Dynamic State and Parameter Estimation” with an objective to define its concepts, demonstrate its values for enhanced power system online monitoring and control as well as power engineering educations.

EDUCATION

N/A

Amirkabir University of Technology - Tehran Polytechnic

Master’s Degree, Electrical Engineering Technologies/Technicians

2014 — 2018

Binghamton University

Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering

ABOUT SHAHROKH AKHLAGHI

I hold a Ph.D. in Electrical Engineering from the State University of New York (SUNY) at Binghamton, specializing in Power System Dynamics. Over the years, I’ve led and contributed to projects in model validation, parameter calibration, dynamic state estimation, and PMU placement in collaboration with Pacific Northwest National Laboratory (PNNL), NYISO, and NYSERDA.Currently, I serve as PES Chair for Arkansas and Secretary of the PES Task Force on Power System Dynamic State and Parameter Estimation. My work bridges cutting-edge research with practical applications in reliability, grid integration, and compliance. Areas of Expertise & Interest • Power system real-time monitoring, operation, and control • Dynamic state estimation, model validation, and parameter calibration • PMU data analysis and synchrophasor applications • Smart grids, microgrids, and renewable energy integration (wind, solar, storage, data centers) • Interconnection applications and NERC compliance studies Technical Skills & Tools • Power System Studies: Stability, VAR control, ERCOT Part 3 testing, Model Quality Tests (MQT) • Standards: NERC (MOD, PRC, BAL, VAR, FAC), FERC, 2800; 421.5; ERCOT NOGRR-245 and POGRR-109 • Modeling & Simulation: PSS®E, PSLF, PSCAD, TSAT, ETAP, DIgSILENT, MATLAB/Simulink and EasyPower • Data Science: Python, MATLAB, R; Kalman filter and nonlinear filters; optimization (GAMS, CVX, GUROBI) Strengths • Deep technical expertise in grid reliability and modeling • Strong background in data-driven analysis and filtering techniques • Leadership in professional organizations PES) • Collaborative, analytical, and results-driven

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