Applications of artificial intelligence in power system operation, control and planning: a review
As different artificial intelligence (AI) techniques continue to evolve, power systems are
undergoing significant technological changes with the primary goal of reducing …
undergoing significant technological changes with the primary goal of reducing …
A review on the applications of reinforcement learning control for power electronic converters
P Chen, J Zhao, K Liu, J Zhou, K Dong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In modern micro-grid systems, the control of power electronic converters faces numerous
challenges, including the uncertainty of parameters of the controlled objects, variations in …
challenges, including the uncertainty of parameters of the controlled objects, variations in …
Review of recent control strategies for the traction converters in high-speed train
Electric means of transportation have seen a rapid expansion partly due to flexibility to
commuters and carbon emission reduction. However, transportation electrification is …
commuters and carbon emission reduction. However, transportation electrification is …
Autonomous input voltage sharing control and triple phase shift modulation method for ISOP-DAB converter in DC microgrid: A multiagent deep reinforcement learning …
This article proposes a multiagent (MA) deep reinforcement learning (DRL) based
autonomous input voltage sharing (IVS) control and triple phase shift modulation method for …
autonomous input voltage sharing (IVS) control and triple phase shift modulation method for …
Deep reinforcement learning aided variable-frequency triple-phase-shift control for dual-active-bridge converter
To improve the conversion efficiency of the dual-active-bridge converter, this article
demonstrates a variable-frequency triple-phase-shift (TPS) control strategy with the help of …
demonstrates a variable-frequency triple-phase-shift (TPS) control strategy with the help of …
AI-based design with data trimming for hybrid phase shift modulation for minimum-current-stress dual active bridge converter
Dual active bridge (DAB) topology has been recognized as the key circuit for the next
generation of high-frequency-link power conversion systems. In order to realize desired …
generation of high-frequency-link power conversion systems. In order to realize desired …
A novel intelligent nonlinear controller for dual active bridge converter with constant power loads
The stability of dual active bridge converter (DAB) is threatened when feeding the constant
power loads (CPLs). This article proposes a deep reinforcement learning-based …
power loads (CPLs). This article proposes a deep reinforcement learning-based …
Artificial-intelligence-based triple phase shift modulation for dual active bridge converter with minimized current stress
The dual active bridge (DAB) converter has been popular in many applications for its
outstanding power density and bidirectional power transfer capacity. Up to now, triple phase …
outstanding power density and bidirectional power transfer capacity. Up to now, triple phase …
Deep reinforcement learning-aided efficiency optimized dual active bridge converter for the distributed generation system
With the development of power system electronization, distributed new energy generation-
based DC microgrid system has become a hot spot of the current research. Aiming to …
based DC microgrid system has become a hot spot of the current research. Aiming to …
Online reactive power minimization and soft switching algorithm for triple-phase-shift modulated dual active bridge converter
L Deng, G Zhou, Q Bi, N Xu - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
In a dc microgrid, a bidirectional dc–dc converter is an essential link between voltage bus
and energy storage system (ESS). When galvanic isolation and high efficiency are required …
and energy storage system (ESS). When galvanic isolation and high efficiency are required …