Sayak Mukherjee

College of Engineering

Works (4)

Updated: July 5th, 2023 15:07

2021 journal article

Modeling and Quantifying the Impact of Wind Penetration on Slow Coherency of Power Systems


By: S. Mukherjee n, A. Chakrabortty n & S. Babaei*

author keywords: Power system dynamics; Power system stability; Wind farms; Laplace equations; Doubly fed induction generators; Wind power generation; Doubly-fed induction generators; eigen-vectors; singular perturbation; slow coherency; wind power system
TL;DR: A theoretical framework to quantify this modification, and an equivalent Laplacian matrix to compute the modified coherent areas are developed and compared with measurement-based principal component analysis to substantiate the derivations. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: March 29, 2021

2021 journal article

Reduced-dimensional reinforcement learning control using singular perturbation approximations


By: S. Mukherjee n, H. Bai* & A. Chakrabortty n

author keywords: Reinforcement learning; Linear quadratic regulator; Singular perturbation; Model-free control; Model reduction
TL;DR: A model-free, reduced-dimensional reinforcement learning (RL) based optimal control designs for linear time-invariant singularly perturbed (SP) systems and develops both centralized and cluster-wise block-decentralized RL controllers for such networks, in reduced dimensions. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: April 5, 2021

2021 journal article

Scalable Designs for Reinforcement Learning-Based Wide-Area Damping Control


By: S. Mukherjee n, A. Chakrabortty n, H. Bai*, A. Darvishi* & B. Fardanesh*

author keywords: Generators; Phasor measurement units; Power system stability; Power system dynamics; Damping; Load modeling; Oscillators; Reinforcement learning; model-free control; oscillation damping; singular perturbation; neural observer
TL;DR: This article discusses how techniques from reinforcement learning can be exploited to transition to a model-free and scalable wide-area oscillation damping control of power grids by employing ideas from model reduction. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: May 24, 2021

2020 journal article

Measurement-driven optimal control of utility-scale power systems: A New York State grid perspective


By: S. Mukherjee n, S. Babaei*, A. Chakrabortty n & B. Fardanesh

author keywords: Inter-area oscillations; Wide-Area Damping Controller (WADC); Measurement based LQG; FACTS; Damping control for an utility-scale power system
TL;DR: The effectiveness of the control performance is shown using the non-linear simulations under different contingencies provided by the New York Independent System Operator (NYISO). (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: November 11, 2019

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