[HTML][HTML] Design and simulation of district heating networks: A review of modeling approaches and tools
District heating (DH) systems have been identified as an important component in efforts to
mitigate greenhouse gas emissions and achieve climate targets in the near future. Software …
mitigate greenhouse gas emissions and achieve climate targets in the near future. Software …
[HTML][HTML] A comprehensive review on the role of artificial intelligence in power system stability, control, and protection: Insights and future directions
This review comprehensively examines the burgeoning field of intelligent techniques to
enhance power systems' stability, control, and protection. As global energy demands …
enhance power systems' stability, control, and protection. As global energy demands …
Multi-agent reinforcement learning for active voltage control on power distribution networks
This paper presents a problem in power networks that creates an exciting and yet
challenging real-world scenario for application of multi-agent reinforcement learning …
challenging real-world scenario for application of multi-agent reinforcement learning …
Fairness-incorporated online feedback optimization for real-time distribution grid management
With the increasing penetration of distributed energy resources such as photovoltaics (PVs),
frequent voltage and congestion problems are expected to occur in distribution grids …
frequent voltage and congestion problems are expected to occur in distribution grids …
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 …
Applications of artificial intelligence in distribution power system operation
Due to the energy transition and the distribution of electricity generation, distribution power
systems gain a lot of attention as their importance increases and new challenges in …
systems gain a lot of attention as their importance increases and new challenges in …
Operating renewable energy communities to reduce power peaks in the distribution grid: An analysis on grid-friendliness, different shares of participants, and …
Improving the control of flexible assets in distribution grids, eg, battery storages, electric
vehicle charging points, and heat pumps, can balance power peaks caused by high …
vehicle charging points, and heat pumps, can balance power peaks caused by high …
Fault detection and localization in active distribution networks using optimally placed phasor measurements units
F Conte, F D'Agostino, B Gabriele… - … on Power Systems, 2022 - ieeexplore.ieee.org
This paper introduces an algorithm able to detect and localize the occurrence of a fault in an
Active Distribution Network, using the measurements collected by Phasor Measurement …
Active Distribution Network, using the measurements collected by Phasor Measurement …
An efficient privacy-enhancing cross-silo federated learning and applications for false data injection attack detection in smart grids
Federated Learning is a prominent machine learning paradigm which helps tackle data
privacy issues by allowing clients to store their raw data locally and transfer only their local …
privacy issues by allowing clients to store their raw data locally and transfer only their local …
Modeling synthetic power distribution network and datasets with industrial validation
Creating synthetic networks and datasets for power distribution network is challenging due
to continuous expansion of networks, integration of new low carbon technologies and large …
to continuous expansion of networks, integration of new low carbon technologies and large …