11 citations · 25 across the 10 of their papers we have counts for
11 papers
Adaptive State Estimation Under Topological Uncertainty in Unobservable Primary Distribution Systems Using Strategically Placed Sensors
Farah Elsherif, Behrouz Azimian, Anamitra Pal
The rapid integration of distributed energy resources is fundamentally altering power flow patterns in primary distribution networks and intensifying operational uncertainty. These…
Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems
Shiva Moshtagh, Behrouz Azimian, Mohammad Golgol +1
Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) cove…
Creating Temporally Correlated High-Resolution Profiles of Load Injection Using Constrained Generative Adversarial Networks
Hritik Gopal Shah, Behrouz Azimian, Anamitra Pal
Traditional smart meters, which measure energy usage every 15 minutes or more and report it at least a few hours later, lack the granularity needed for real-time decision-making. T…
Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation
Behrouz Azimian, Shiva Moshtagh, Anamitra Pal +1
Recently, we demonstrated success of a time-synchronized state estimator using deep neural networks (DNNs) for real-time unobservable distribution systems. In this letter, we provi…
Time-Synchronized State Estimation Using Graph Neural Networks in Presence of Topology Changes
Shiva Moshtagh, Anwarul Islam Sifat, Behrouz Azimian +1
Recently, there has been a major emphasis on developing data-driven approaches involving machine learning (ML) for high-speed static state estimation (SE) in power systems. The emp…
Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges
Antos Cheeramban Varghese, Hritik Shah, Behrouz Azimian +2
As the phasor measurement unit (PMU) placement problem involves a cost-benefit trade-off, more PMUs get placed on the higher voltage buses. However, this causes many of the lower v…
State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks
Behrouz Azimian, Reetam Sen Biswas, Shiva Moshtagh +3
Time-synchronized state estimation for reconfigurable distribution networks is challenging because of limited real-time observability. This paper addresses this challenge by formul…
Stochastic AC Network-constrained Scheduling of CAES and Wind Power Generation in Joint Energy and reserve market: Toward More Realistic Results
Mohammad Ghaljehei, Mahrad Rahimi, Zahra Soltani +3
In this paper, a two-stage stochastic day-ahead (DA) scheduling model is proposed incorporating wind power units and compressed air energy storage (CAES) to clear a co-optimized en…
Time Synchronized State Estimation for Incompletely Observed Distribution Systems Using Deep Learning Considering Realistic Measurement Noise
Behrouz Azimian, Reetam Sen Biswas, Anamitra Pal +1
Time-synchronized state estimation is a challenge for distribution systems because of limited real-time observability. This paper addresses this challenge by formulating a deep lea…
A Micro-PMU Placement Scheme for Distribution Systems Considering Practical Constraints
Reetam Sen Biswas, Behrouz Azimian, Anamitra Pal
This paper presents an innovative approach to micro-phasor measurement unit (micro-PMU) placement in unbalanced distribution networks. The methodology accounts for the presence of…
Game Theory Approach on Modeling of Residential Electricity Market by Considering the Uncertainty due to the Battery Electric Vehicles (BEVs)
Ramin Faraji Fijani, Behrouz Azimian, Ehsan Ghotbi +1
The rapid progression of sophisticated advance metering infrastructure (AMI), allows us to have a better understanding and data from demand-response (DR) solutions. There are vast…