Solar, wind and their hybridization integration for multi-machine power system oscillation controllers optimization: a review
Massive growth in global electrical energy demand has necessitated a genuine exploration
and integration of solar and wind energy into the electrical power mix. This incorporation …
and integration of solar and wind energy into the electrical power mix. This incorporation …
Meta-learning based voltage control strategy for emergency faults of active distribution networks
With the increase of energy demand and the continuous development of renewable energy
technology, active distribution networks have become increasingly important. However, the …
technology, active distribution networks have become increasingly important. However, the …
Meta-learning based voltage control for renewable energy integrated active distribution network against topology change
This letter presents a meta-learning based voltage control strategy for renewable energy
integrated active distribution network. The multiple interference self-supervised method is …
integrated active distribution network. The multiple interference self-supervised method is …
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 …
A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration
With increasing proportion of wind energy in power systems, the intermittence of such
energy makes the system run a wide range of operating conditions. In this context, ordinary …
energy makes the system run a wide range of operating conditions. In this context, ordinary …
Improving Interarea Mode Oscillation Damping in Multi-Machine Energy Systems through a Coordinated PSS and FACTS Controller Framework
M Zamani, G Shahgholian, A Fathollahi, A Mosavi… - Sustainability, 2023 - mdpi.com
Power system stability is of paramount importance in the context of energy sustainability.
The reliable and efficient operation of power systems is crucial for supporting modern …
The reliable and efficient operation of power systems is crucial for supporting modern …
[HTML][HTML] Adaptive inter-area power oscillation damping from offshore wind farm and MMC-HVDC using deep reinforcement learning
The coordination of the offshore wind farm (OWF) and high-voltage direct current (HVDC)
links to provide ancillary power oscillation damping (POD) services may become a …
links to provide ancillary power oscillation damping (POD) services may become a …
[HTML][HTML] Novel adaptive stability enhancement strategy for power systems based on deep reinforcement learning
As the access rate of wind energy in a power system has significantly increased, stabilizing
the power system has become challenging. Among these challenges, low-frequency …
the power system has become challenging. Among these challenges, low-frequency …
Rank exponent method based optimal control of AGC for two-area interconnected power systems
Automatic generation control (AGC) is employed in power systems to maintain balance
between generation and load by adjusting output of generators in real time. Controller …
between generation and load by adjusting output of generators in real time. Controller …
A new scheme of Harris hawk optimizer with memory saving strategy (HHO-MSS) for controlling parameters of power system stabilizer and virtual inertia in renewable …
Renewable microgrid power systems confront a typical stability challenge due to the
deficiency of damping and inertia properties. This stability can be maintained by controlling …
deficiency of damping and inertia properties. This stability can be maintained by controlling …