Recent advances in computational methodologies for real-time hybrid simulation of engineering structures

A Palacio-Betancur, M Gutierrez Soto - Archives of Computational …, 2023 - Springer
Predicting complex structures' dynamic behavior is challenging, especially since full-scale
testing of structures subjected to natural hazards is not always possible. Testing individual …

Optimal design of solar/wind/energy storage system-powered RO desalination unit: single and multi-objective optimization

K Ghanbari, A Maleki, DR Ochbelagh - Energy Conversion and …, 2024 - Elsevier
Abstract Hybrid Renewable Energy Systems (HRES), particularly those independent of the
grid and powered by wind and solar energy, have gained increased interest as potential …

Efficient load frequency control of renewable integrated power system: A twin delayed DDPG-based deep reinforcement learning approach

J Khalid, MAM Ramli, MS Khan, T Hidayat - IEEE Access, 2022 - ieeexplore.ieee.org
Power systems have been evolving dynamically due to the integration of renewable energy
sources, making it more challenging for power grids to control the frequency and tie-line …

Adaptive event-triggered load frequency control for interconnected microgrids by observer-based sliding mode control

H Li, X Wang, J **ao - IEEE access, 2019 - ieeexplore.ieee.org
This paper focuses on the load frequency control (LFC) for a multi-area interconnected
microgrid power system with the introduction of communication networks, a robust sliding …

A wind energy supplier bidding strategy using combined ega-inspired hpsoifa optimizer and deep learning predictor

R Zhang, S Aziz, MU Farooq, KN Hasan, N Mohammed… - Energies, 2021 - mdpi.com
As the integration of large-scale wind energy is increasing into the electricity grids, the role
of wind energy suppliers should be investigated as a price-maker as their participation …

An efficient design of adaptive model predictive controller for load frequency control in hybrid power system

MM Gulzar, D Sibtain, A Ahmad, I Javed… - … on Electrical Energy …, 2022 - Wiley Online Library
The technology has proceeded so much that the power system should be substantial and
explicit to give optimal results. Ever‐increasing complexities of the power system and load …

Variable universe fuzzy control of high-speed elevator horizontal vibration based on firefly algorithm and backpropagation fuzzy neural network

H Zhang, R Zhang, Q He, L Liu - IEEE Access, 2021 - ieeexplore.ieee.org
To effectively suppress the horizontal vibration of a high-speed elevator car caused by
uncertainties such as the irregularity of guide rails and the piston wind in the hoistway, this …