Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions
Big data has potential to unlock novel groundbreaking opportunities in power grid that
enhances a multitude of technical, social, and economic gains. As power grid technologies …
enhances a multitude of technical, social, and economic gains. As power grid technologies …
Learning distribution grid topologies: A tutorial
Unveiling feeder topologies from data is of paramount importance to advance situational
awareness and proper utilization of smart resources in power distribution grids. This tutorial …
awareness and proper utilization of smart resources in power distribution grids. This tutorial …
Topology identification and line parameter estimation for non-PMU distribution network: A numerical method
The energy management system becomes increasingly indispensable with the extensive
penetration of new players in the distribution networks, such as renewable energy, storage …
penetration of new players in the distribution networks, such as renewable energy, storage …
Data-driven learning-based optimization for distribution system state estimation
Distribution system state estimation (DSSE) is a core task for monitoring and control of
distribution networks. Widely used algorithms such as Gauss-Newton perform poorly with …
distribution networks. Widely used algorithms such as Gauss-Newton perform poorly with …
Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning
Accurate knowledge of the distribution system topology and parameters is required to
achieve good voltage control performance, but this is difficult to obtain in practice. This paper …
achieve good voltage control performance, but this is difficult to obtain in practice. This paper …
Detection of false data injection attacks in smart grids based on graph signal processing
E Drayer, T Routtenberg - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
The smart grid combines the classical power system with the information technology,
leading to a cyber-physical system. In such an environment, the malicious injection of data …
leading to a cyber-physical system. In such an environment, the malicious injection of data …
Measurement-based optimal DER dispatch with a recursively estimated sensitivity model
This paper presents a measurement-based method to determine distributed energy
resource (DER) active-and reactive-power setpoints that minimize bus voltage deviations …
resource (DER) active-and reactive-power setpoints that minimize bus voltage deviations …
Inverse power flow problem
We formulate an inverse power flow problem that infers a nodal admittance matrix from
voltage and current phasors measured at a number of buses. We show that the admittance …
voltage and current phasors measured at a number of buses. We show that the admittance …
Artificial intelligence and mathematical models of power grids driven by renewable energy sources: A survey
To face the impact of climate change in all dimensions of our society in the near future, the
European Union (EU) has established an ambitious target. Until 2050, the share of …
European Union (EU) has established an ambitious target. Until 2050, the share of …
Distribution grid topology and parameter estimation using deep-shallow neural network with physical consistency
To better monitor and control distribution grids, the exact knowledge of system topology and
parameters is a fundamental requirement. However, topology information is usually …
parameters is a fundamental requirement. However, topology information is usually …