11 citations · 25 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…