4 citations · 12 across the 11 of their papers we have counts for
12 papers
A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation
Mukesh Gautam, Rakib Hossain, Mohammad MansourLakouraj +3
Federal Energy Regulatory Commission (FERC) Orders 841 and 2222 have recommended that distributed energy resources (DERs) should participate in energy and reserve markets; therefor…
Reserve Allocation in Active Distribution Systems for Tertiary Frequency Regulation: A Coalitional Game Theory-based Approach
Mukesh Gautam, Mohammad MansourLakouraj, Rakib Hossain +3
This paper proposes a coalitional game theory-based approach for reserve optimization to enable DERs participate in tertiary frequency regulation. A two-stage approach is proposed…
Co-optimization of Operational Unit Commitment and Reserve Power Scheduling for Modern Grid
Ramkrishna Mishan, Matthew Egan, Mohammed Ben-Idris +1
Modern power grids combine conventional generators with distributed energy resource (DER) generators in response to concerns over climate change and long-term energy security. Due…
Robust Event Classification Using Imperfect Real-world PMU Data
Yunchuan Liu, Lei Yang, Amir Ghasemkhani +4
This paper studies robust event classification using imperfect real-world phasor measurement unit (PMU) data. By analyzing the real-world PMU data, we find it is challenging to dir…
Event Cause Analysis in Distribution Networks using Synchro Waveform Measurements
Iman Niazazari, Hanif Livani, Amir Ghasemkhani +2
This paper presents a machine learning method for event cause analysis to enhance situational awareness in distribution networks. The data streams are captured using time-synchroni…
Deep Neural Network based Wide-Area Event Classification in Power Systems
Iman Niazazari, Amir Ghasemkhani, Yunchuan Liu +4
This paper presents a wide-area event classification in transmission power grids. The deep neural network (DNN) based classifier is developed based on the availability of data from…
Decentralized Dynamic State Estimation with Bimodal Gaussian Mixture Measurement Noise
Vahid Sarfi, Amir Ghasemkhani, Iman Niazazari +2
This paper proposes a decentralized dynamic state estimation (DSE) algorithm with bimodal Gaussian mixture measurement noise. The decentralized DSE is formulated using the Ensemble…
Attack on Grid Event Cause Analysis: An Adversarial Machine Learning Approach
Iman Niazazari, Hanif Livani
With the ever-increasing reliance on data for data-driven applications in power grids, such as event cause analysis, the authenticity of data streams has become crucially important…
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning
Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani +3
In this paper, a biologically-inspired adaptive intelligent secondary controller is developed for microgrids to tackle system dynamics uncertainties, faults, and/or disturbances. T…
Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning
Iman Niazazari, Reza Jalilzadeh Hamidi, Hanif Livani +1
This paper presents a spatiotemporal unsupervised feature learning method for cause identification of electromagnetic transient events (EMTE) in power grids. The proposed method is…
Anomaly Classification in Distribution Networks Using a Quotient Gradient System
Hamid Khodabandehlou, Iman Niazazari, Hanif Livani +1
The classification of anomalies or sudden changes in power networks versus normal abrupt changes or switching actions is essential to take appropriate maintenance actions that guar…
Disruptive Event Classification using PMU Data in Distribution Networks
Iman Niazazari, Hanif Livani
Proliferation of advanced metering devices with high sampling rates in distribution grids, e.g., micro-phasor measurement units (μPMU), provides unprecedented potentials for wide-a…