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 …
A review of distribution system state estimation methods and their applications in power systems
This paper summarizes a review of the distribution system state estimation (DSSE) methods,
techniques, and their applications in power systems. In recent years, the implementation of a …
techniques, and their applications in power systems. In recent years, the implementation of a …
Parameter identification in power transmission systems based on graph convolution network
Z Wang, M Xia, M Lu, L Pan, J Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Parameter Identification plays an important role in electric power transmission systems.
Existing approaches for parameter identification tasks typically have two limitations:(1) They …
Existing approaches for parameter identification tasks typically have two limitations:(1) They …
Topology and parameter identification of distribution network using smart meter and µPMU measurements
VL Srinivas, J Wu - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Incomplete and inaccurate information of network topology and line parameters affects state
monitoring, analysis, and control of active distribution networks. To solve this issue, this …
monitoring, analysis, and control of active distribution networks. To solve this issue, this …
State and topology estimation for unobservable distribution systems using deep neural networks
Time-synchronized state estimation for reconfigurable distribution networks is challenging
because of limited real-time observability. This article addresses this challenge by …
because of limited real-time observability. This article addresses this challenge by …
Decentralized safe reinforcement learning for inverter-based voltage control
Inverter-based distributed energy resources provide the possibility for fast time-scale voltage
control by quickly adjusting their reactive power. The power-electronic interfaces allow these …
control by quickly adjusting their reactive power. The power-electronic interfaces allow these …
State estimation for distribution power systems by applying an advanced optimization approach
New centralized automation functions in distribution system control centers are needed in
order to ensure the control of both distribution network and connected DGs. Consequently …
order to ensure the control of both distribution network and connected DGs. Consequently …
Adaptive static equivalences for active distribution networks with massive renewable energy integration: a distributed deep reinforcement learning approach
Active distribution networks (ADNs) with 100% renewable energy sources (RESs)
penetration are essential in the net-zeros emission power sector. As an efficient analysis …
penetration are essential in the net-zeros emission power sector. As an efficient analysis …
Topology identification of distribution networks using a split-EM based data-driven approach
To improve the topology observability in power distribution networks (PDNs), a two-stage
topology identification framework is proposed to recognize the mixed topologies in a large …
topology identification framework is proposed to recognize the mixed topologies in a large …
Distribution network admittance matrix estimation with linear regression
Topology identification and parameter estimation form the basis for the operation and control
of the distribution network with little or no observability. This paper proposes a method to …
of the distribution network with little or no observability. This paper proposes a method to …