Search Results for author: Javad Khazaei

Found 8 papers, 0 papers with code

Physics-informed Convolutional Neural Network for Microgrid Economic Dispatch

no code implementations29 Apr 2024 Xiaoyu Ge, Javad Khazaei

The proposed method can significantly accelerate real-time economic dispatch of microgrids without compromising the accuracy of numerical optimization techniques.

Adaptive Regulated Sparsity Promoting Approach for Data-Driven Modeling and Control of Grid-Connected Solar Photovoltaic Generation

no code implementations29 Apr 2024 Zhongtian Zhang, Javad Khazaei, Rick S. Blum

This paper aims to introduce a new statistical learning technique based on sparsity promoting for data-driven modeling and control of solar photovoltaic (PV) systems.

regression

Voltage Restoration in MVDC Shipboard Microgrids with Economic Nonlinear Model Predictive Control

no code implementations6 Dec 2023 Saskia Putri, Ali Hosseinipour, Xiaoyu Ge, Faegheh Moazeni, Javad Khazaei

This paper presents a novel control strategy using nonlinear model predictive controller embedded with a complex droop control architecture for voltage restoration and power sharing in medium voltage DC (MVDC) Naval MGs.

Model Predictive Control

Time-Domain Operational Metrics for Real-time Resilience Assessment in DC Microgrids

no code implementations6 Dec 2023 Maral Shadaei, Ali Hosseinipour, Javad Khazaei

Resilience is emerging as an evolving notion, reflecting a system's ability to endure and adapt to sudden and catastrophic changes and disruptions.

Computational Efficiency

Operational Resilience Assessment: A Frequency-Domain Approach for DC Microgrids

no code implementations6 Dec 2023 Ali Hosseinipour, Maral Shadaei, Javad Khazaei

In this paper, the real-time operational resilience (OR) evaluation of DC SMGs against dynamic disturbances is proposed using frequency-domain metrics.

Nonlinear Model Predictive Control for Navy Microgrids with Stabilizing Terminal Ingredients

no code implementations6 Dec 2023 Saskia Putri, Xiaoyu Ge, Faegheh Moazeni, Javad Khazaei

This paper presents a novel control strategy for medium voltage DC (MVDC) naval shipboard microgrids (MGs), employing a nonlinear model predictive controller (NMPC) enhanced with stabilizing features and an intricate droop control architecture.

energy management Management +1

Learning the Dynamics of Future Marine Microgrids Using Temporal Convolutional Neural Network

no code implementations6 Dec 2023 Xiaoyu Ge, Ali Hosseinipour, Saskia Putri, Faegheh Moazeni, Javad Khazaei

Medium-voltage direct-current (MVDC) ship-board microgrids (SMGs) are the state-of-the-art architecture for onboard power distribution in navy.

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