activity
20202023
most citedRoles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

233 citations · 249 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2023★ 2 cited

Assessing the value of energy storage systems for distribution grid applications

Sahar Moghimian Hoosh, Henni Ouerdane, Vladimir Terzija +1

We analyze the potential benefits that energy storage systems (ESS) can bring to distribution networks in terms of cost, stability and flexibility. We propose an optimization model…

eess.SY2023★ 1 cited

New Cycle-based Formulation, Cost Function, and Heuristics for DC OPF Based Controlled Islanding

Ilya Tyuryukanov, Marjan Popov, Jorrit A. Bos +2

This paper presents a new formulation for intentional controlled islanding (ICI) of power transmission grids based on mixed-integer linear programming (MILP) DC optimal power flow…

stat.ML2022★ 2 cited

Data-Driven Stochastic AC-OPF using Gaussian Processes

Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev +4

In recent years, electricity generation has been responsible for more than a quarter of the greenhouse gas emissions in the US. Integrating a significant amount of renewables into…

eess.SY2022★ 8 cited

Controlled Power System Separation Using Generator PMU Data and System Kinetic Energy

Ilya Tyuryukanov, Marjan Popov, Jorrit A. Bos +2

With the growing number of severe system disturbances and blackouts around the world, controlled system separation is becoming an increasingly important system integrity protection…

eess.SY2020★ 3 cited

Dynamic State Estimation for Power System Control and Protection

Yu Liu, Abhinav Kumar Singh, Junbo Zhao +12

Dynamic state estimation (DSE) accurately tracks the dynamics of a power system and provides the evolution of the system state in real-time. This paper focuses on the control and p…

eess.SP2020★ 233 cited

Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

Junbo Zhao, Marcos Netto, Zhenyu Huang +13

Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, the increasing availability of fast-sampled, time-syn…