Active distribution network operational optimization problem: A multi-objective tuna swarm optimization model

LL Li, BX Ji, MK Lim, ML Tseng - Applied Soft Computing, 2024 - Elsevier
This study proposes multi-objective tuna swarm optimization through multi-objective
transformation, initialization improvement and population variation for active distribution …

Optimal Operation Control Strategies for Active Distribution Networks under Multiple States: A Systematic Review

J Zhao, Z Wu, H Long, H Sun, X Wu… - Journal of Modern …, 2023 - ieeexplore.ieee.org
With the large-scale integration of distributed renewable generation (DRG) and increasing
proportion of power electronic equipment, the traditional power distribution network (DN) is …

[HTML][HTML] Operation of distribution network: Challenges and opportunities in the era of peer-to-peer trading

SM Razavi, MR Haghifam, S Arefizadeh, SMM Larimi… - Energy Reports, 2024 - Elsevier
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 …

An efficient modular optimization scheme for unbalanced active distribution networks with uncertain EV and PV penetrations

V Vijayan, A Mohapatra, SN Singh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Integrated control strategies with Network Reconfiguration (NR), Demand Response (DR),
and voltage control can reduce peak demand, energy loss, and system-wide unbalances in …

[HTML][HTML] Distribution network reconfiguration and reactive power compensation using a hybrid Simulated Annealing–Minimum spanning tree algorithm

B Stojanović, T Rajić, D Šošić - International Journal of Electrical Power & …, 2023 - Elsevier
Change of the climate, environmental pollution and lack of classical energy sources forced
many countries to address renewables. In modern strategies of smart distribution network …

Optimal feeder reconfiguration and placement of voltage regulators in electrical distribution networks using a linear mathematical model

LA Gallego Pareja, JM López-Lezama… - Sustainability, 2023 - mdpi.com
Power distribution systems face continuous challenges from increased demand and
lengthening of feeders, resulting in power loss augmentation and unacceptable voltage …

Importance of radiality constraints formulation in reconfiguration problems

M Mahdavi, HH Alhelou, P Gopi… - IEEE Systems …, 2023 - ieeexplore.ieee.org
Obtaining accurate solutions in an acceptable computation time for the problem of
distribution systems reconfiguration is very important because the topology of real …

Deep reinforcement learning based multi-level dynamic reconfiguration for urban distribution network: a cloud-edge collaboration architecture

S Jiang, H Gao, X Wang, J Liu, K Zuo - Global Energy Interconnection, 2023 - Elsevier
With the construction of the power Internet of Things (IoT), communication between smart
devices in urban distribution networks has been gradually moving towards high speed, high …

Optimal Integration of Distribution Network Reconfiguration and Conductor Selection in Power Distribution Systems via MILP

LA Gallego Pareja, JM López-Lezama… - Energies, 2023 - mdpi.com
Power distribution systems (PDS) comprise essential electrical components and
infrastructure that facilitate the delivery of electrical energy from a power transmission …

A Two-stage Multi-agent Deep Reinforcement Learning Method for Urban Distribution Network Reconfiguration Considering Switch Contribution

H Gao, S Jiang, Z Li, R Wang, Y Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the ever-escalating scale of urban distribution networks (UDNs), the traditional model-
based reconfiguration methods are becoming inadequate for smart system control. On the …