Reconfiguration of electric power distribution systems: Comprehensive review and classification
Distribution systems play an important role, delivering the electric power of generation
system to individual consumers. Distribution system reconfiguration (DSR) is a large-scale …
system to individual consumers. Distribution system reconfiguration (DSR) is a large-scale …
Buildings-to-distribution-network integration considering power transformer loading capability and distribution network reconfiguration
Y Zhang, T Qian, W Tang - Energy, 2022 - Elsevier
A novel buildings-to-distribution-network integration framework is developed in this paper.
The joint objective of the proposed framework is to schedule flexible resources, so that the …
The joint objective of the proposed framework is to schedule flexible resources, so that the …
Many-objective distribution network reconfiguration via deep reinforcement learning assisted optimization algorithm
Y Li, G Hao, Y Liu, Y Yu, Z Ni… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the increasing penetration of renewable energy (RE), the operations of distribution
network are threatened and some issues may appear, ie, large voltage deviation …
network are threatened and some issues may appear, ie, large voltage deviation …
[HTML][HTML] Operation of distribution network: Challenges and opportunities in the era of peer-to-peer trading
In recent years, the attention of researchers has been drawn to identifying and investigating
new optimal approaches for operation of the distribution networks (ODNs) and the role of …
new optimal approaches for operation of the distribution networks (ODNs) and the role of …
[HTML][HTML] Distribution network reconfiguration using time-varying acceleration coefficient assisted binary particle swarm optimization
The particle swarm optimization (PSO) algorithm is widely used to solve a variety of
complicated engineering problems. However, PSO may suffer from an effective balance …
complicated engineering problems. However, PSO may suffer from an effective balance …
A comparative study of reinforcement learning algorithms for distribution network reconfiguration with deep Q-learning-based action sampling
Distribution network reconfiguration (DNR) is one of the most important methods to cope
with the increasing electricity demand due to the massive integration of electric vehicles …
with the increasing electricity demand due to the massive integration of electric vehicles …
Optimal reconfiguration in distribution systems with distributed generations based on modified sequential switch opening and exchange
Featured Application This optimization algorithm can be implemented in a smart grid for
reconfiguration purpose. Abstract The distribution systems operate radially with meshed …
reconfiguration purpose. Abstract The distribution systems operate radially with meshed …
Simultaneous distribution network reconfiguration and optimal allocation of renewable-based distributed generators and shunt capacitors under uncertain conditions
MM Sayed, MY Mahdy, SHE Abdel Aleem… - Energies, 2022 - mdpi.com
Smart grid technology has received ample attention in past years to develop the traditional
power distribution network and to enable the integration of distributed generation units …
power distribution network and to enable the integration of distributed generation units …
Dynamic reconfiguration of distribution network based on dynamic optimal period division and multi-group flight slime mould algorithm
This paper suggests a multi-period dynamic reconfiguration method for the distribution
network. The reconfiguration period is preliminarily divided based on the load monotonicity …
network. The reconfiguration period is preliminarily divided based on the load monotonicity …
Hybrid data-driven and model-based distribution network reconfiguration with lossless model reduction
Distribution network reconfiguration is an effective method to face the problem of power
fluctuation in the power system. Previous studies have focused on mathematical …
fluctuation in the power system. Previous studies have focused on mathematical …