Artificial Intelligence in the Hierarchical Control of ac, dc and Hybrid ac/dc Microgrids–A Review
J Gutiérrez-Escalona, C Roncero-Clemente… - IEEE …, 2024 - ieeexplore.ieee.org
Growing concerns about the energy and environmental crisis are accelerating the transition
to a sustainable energy generation landscape through the integration of distributed …
to a sustainable energy generation landscape through the integration of distributed …
A novel ANN-based GMPPT method for PV systems under complex partial shading conditions
SP Ye, YH Liu, HY Pai… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this article, a new two-stage global maximum power point tracking (GMPPT) algorithm
based on artificial neural network (ANN) is proposed. The novel ANN architecture is …
based on artificial neural network (ANN) is proposed. The novel ANN architecture is …
An optimal adaptive control strategy for energy balancing in smart microgrid using dynamic pricing
FR Albogamy, M Zakria, TA Khan, S Murawwat… - IEEE …, 2022 - ieeexplore.ieee.org
Energy balancing in smart microgrid plays a vital role to improve the reliability and resolves
the load shedding problem to ensure consistent energy supply. However, energy balancing …
the load shedding problem to ensure consistent energy supply. However, energy balancing …
Long-term deep reinforcement learning for real-time economic generation control of cloud energy storage systems with varying structures
L Yin, Y Xiong - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Energy storage systems play a crucial role in modern power systems. Consequently, a
mixed cloud energy storage (CES) system is proposed. The mixed CES system comprises …
mixed cloud energy storage (CES) system is proposed. The mixed CES system comprises …
Global maximum power point tracking for PV conversion systems under partial shadings: NNIDA based approach
Due to the nonlinear characteristics of photovoltaic (PV) cells, it remains as a challenge to
generate stable maximum power from PV conversion systems. Under partial shading …
generate stable maximum power from PV conversion systems. Under partial shading …
Enactment of deep reinforcement learning control for power management and enhancement of voltage regulation in a DC micro-grid system
B Nishanthi, J Kanakaraj - Electric Power Components and …, 2024 - Taylor & Francis
DC micro-grids are gaining more attention and becoming more predominant due to its
robustness and ease of control. To confront the stability issues of the DC Micro-grid system …
robustness and ease of control. To confront the stability issues of the DC Micro-grid system …
Voltage Stability Assessment and Power Regulation of Solar PV Based DC Microgrid
B Nishanthi, J Kanakaraj - Journal of Electrical Engineering & Technology, 2024 - Springer
Increase in energy demand, Reduction in the available nonrenewable sources and need for
reliable power supply has been main motivation for micro-grids. When many converters are …
reliable power supply has been main motivation for micro-grids. When many converters are …
[PDF][PDF] A novel ANN-based GMPPT method for complex partial shading conditions
SP Ye, YH Liu, HY Pai, A Sangwongwanich… - vbn.aau.dk
In this paper, a new two-stage global maximum power point tracking (GMPPT) algorithm
based on artificial neural network (ANN) is proposed. A novel ANN architecture is presented …
based on artificial neural network (ANN) is proposed. A novel ANN architecture is presented …
MFAC parameter optimization based on improved sparrow search algorithm
T Xu, X Li - International Workshop on Automation, Control …, 2022 - spiedigitallibrary.org
Model-free adaptive control (MFAC) is based on data and does not depend on the
mathematical model of the controlled object. It is simple in structure and easy to implement …
mathematical model of the controlled object. It is simple in structure and easy to implement …