Distribution Network Reconfiguration to Minimize Power Loss Using Deep Reinforcement Learning

Distribution Network Reconfiguration for Power Loss minimization Using Soft Open Point

2020 Global Congress on Electrical Engineering (GC-ElecEng) ◽

10.23919/gc-eleceng48342.2020.9286283 ◽

2020 ◽

Author(s):

Ismail Moufid ◽

Hassan EL Moussaoui ◽

Hassane El markhi ◽

Tijani Lamhamdi

Keyword(s):

Power Loss ◽

Distribution Network ◽

Network Reconfiguration ◽

Loss Minimization ◽

Power Loss Minimization ◽

Open Point

Methodology for distribution network reconfiguration in smart grid system regarding power loss, grid reliability and the utilization factor of substations, considering a new reality of energy supply and consumption

International Journal of Advanced Engineering Research and Science ◽

10.22161/ijaers.611.24 ◽

2019 ◽

Vol 6 (11) ◽

pp. 163-167

Author(s):

Daniel Szente Fonseca ◽

Gustavo de Góis Himeno ◽

Marcelo Aparecido Pelegrini ◽

Tadeu Ferreira dos Santos

Keyword(s):

Smart Grid ◽

Energy Supply ◽

Power Loss ◽

Distribution Network ◽

Network Reconfiguration ◽

Grid System ◽

Utilization Factor ◽

Smart Grid System

Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2020.3005270 ◽

2020 ◽

Vol 11 (6) ◽

pp. 5357-5369

Author(s):

Yuanqi Gao ◽

Wei Wang ◽

Jie Shi ◽

Nanpeng Yu

Keyword(s):

Reinforcement Learning ◽

Distribution Network ◽

Network Reconfiguration ◽

Dynamic Distribution ◽

2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) ◽

Dynamic Distribution Network Reconfiguration Using Reinforcement Learning

10.1109/smartgridcomm.2019.8909777 ◽

2019 ◽

Cited By ~ 2

Author(s):

Yuanqi Gao ◽

Jie Shi ◽

Wei Wang ◽

Nanpeng Yu

Keyword(s):

Reinforcement Learning ◽

Distribution Network ◽

Network Reconfiguration ◽

Dynamic Distribution ◽

Solving dynamic distribution network reconfiguration using deep reinforcement learning

Electrical Engineering ◽

10.1007/s00202-021-01399-y ◽

2021 ◽

Author(s):

Ognjen B. Kundačina ◽

Predrag M. Vidović ◽

Milan R. Petković

Keyword(s):

Reinforcement Learning ◽

Distribution Network ◽

Network Reconfiguration ◽

Dynamic Distribution ◽

Many-Objective Distribution Network Reconfiguration via Deep Reinforcement Learning Assisted Optimization Algorithm

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2021.3107534 ◽

2021 ◽

pp. 1-1

Author(s):

Yuanzheng Li ◽

Guokai Hao ◽

Yun Liu ◽

Yaowen Yu ◽

Zhixian Ni ◽

...

Keyword(s):

Reinforcement Learning ◽

Optimization Algorithm ◽

Distribution Network ◽

Network Reconfiguration ◽

Evaluating Electricity Distribution Network Reconfiguration to Minimize Power Loss on Existing Networks

CIRED Workshop 2016 ◽

10.1049/cp.2016.0665 ◽

2016 ◽

Cited By ~ 1

Author(s):

W. van Westering ◽

M. van der Meulen ◽

W. Bosma

Keyword(s):

Power Loss ◽

Distribution Network ◽

Electricity Distribution ◽

Network Reconfiguration ◽

Electricity Distribution Network

Emerging Trends in Electrical, Electronic and Communications Engineering - Lecture Notes in Electrical Engineering ◽

Performance Analysis of a Hybrid Algorithm for Power Loss Reduction by Distribution Network Reconfiguration

10.1007/978-3-319-52171-8_10 ◽

2017 ◽

pp. 132-143

Author(s):

Sarah Marappa Naiken ◽

Robert T. F. Ah King

Keyword(s):

Performance Analysis ◽

Power Loss ◽

Hybrid Algorithm ◽

Distribution Network ◽

Network Reconfiguration ◽

Loss Reduction ◽

Power Loss Reduction

2018 19th International Scientific Conference on Electric Power Engineering (EPE) ◽

Power loss reduction through distribution network reconfiguration using feasibility-preserving simulated annealing

10.1109/epe.2018.8396016 ◽

2018 ◽

Cited By ~ 2

Author(s):

Slawomir Koziel ◽

Alberto Landeros Rojas ◽

Szczepan Moskwa

Keyword(s):

Simulated Annealing ◽

Power Loss ◽

Distribution Network ◽

Network Reconfiguration ◽

Loss Reduction ◽

Power Loss Reduction

Distribution Network Reconfiguration Using Grasshopper optimization Algorithm for Power Loss Minimization

2018 International Conference on Smart Energy Systems and Technologies (SEST) ◽

10.1109/sest.2018.8495659 ◽

2018 ◽

Cited By ~ 4

Author(s):

Hanan Hamour ◽

Salah Kamel ◽

Hussein Abdel-mawgoud ◽

Ahmed Korashy ◽

Francisco Jurado

Keyword(s):

Optimization Algorithm ◽

Power Loss ◽

Distribution Network ◽

Network Reconfiguration ◽

Loss Minimization ◽

Power Loss Minimization ◽

Grasshopper Optimization Algorithm ◽

Grasshopper Optimization