Active distribution network operational optimization problem: A multi-objective tuna swarm optimization model

LL Li, BX Ji, MK Lim, ML Tseng - Applied Soft Computing, 2024 - Elsevier
This study proposes multi-objective tuna swarm optimization through multi-objective
transformation, initialization improvement and population variation for active distribution …

Energy management of grid-connected microgrids using an optimal systems approach

M Cavus, A Allahham, K Adhikari, M Zangiabadi… - Ieee …, 2023 - ieeexplore.ieee.org
Microgrids (MGs) are a growing energy industry segment and represent a paradigm shift
from remote central power plants to more localized distributed generation. Controlling MGs …

Green energy management in DC microgrids enhanced with robust model predictive control and muddled tuna swarm MPPT

P Buchibabu, J Somlal - Electrical Engineering, 2024 - Springer
In recent years, extreme focus on renewable energy has intensified due to environmental
concerns and the depletion of fossil fuel supplies. In a DC microgrid that includes AC grid …

[HTML][HTML] Improving Power Output Wind Turbine in Micro-grids Assisted Virtual Wind Speed Prediction

M Ozbak, M Ghazizadeh-Ahsaee, M Ahrari… - Sustainable Operations …, 2024 - Elsevier
Wind energy is an alternative form of energy easily obtainable in the landscape. However,
the main challenge is to extract electrical power from varying wind speeds. Wind energy can …

An Efficient Hybrid Technique for Energy Management System with Renewable Energy System and Energy Storage System in Smart Grid

MMJ Kumar, MT Sampradeepraj, ME Sivajothi, G Singh - Energy, 2024 - Elsevier
This manuscript proposes a hybrid technique for an energy management system (EMS) with
a renewable energy system and energy storage system using the smart micro grid. This …

Residential energy management with flexible and forecast uncertainties

PA Prassath, M Karpagam - Environment, Development and Sustainability, 2024 - Springer
This study proposes the hybrid topology of residential micro-grid (MG) energy management,
taking into account prosumers, flexibile service opportunities, and projected uncertainties …

Microgrid Pre-Synchronization Scheme for Suppressing Voltage Fluctuations and Avoiding Frequency Out-of-Limits

R Gong, Y Qin, T Liu, J Xu, Z Wei - Electronics, 2024 - mdpi.com
Pre-synchronization control is needed when the microgrid changes from an off-grid state to a
grid-connected state. Aiming to resolve the problems of frequency overstep and voltage …

[PDF][PDF] Coordinating the Participation of Energy Sources and Wind Units in Micro-grid Frequency Control by Delaying Micro-grid Parameter Measurement Systems

M Zadehbagheri, S Masoumi… - International Journal of …, 2024 - researchgate.net
In this paper, an intelligent method based on an intelligent algorithm based on teaching and
learning is used to find the most optimal parameters of the controller, and the results …

Maximizing Power Utilization through Machine Learning and IoT based Power Flow Strategies in DC Micro Grids with Renewable Energy Resources

G Senthilkumar, B Mallala, S Sivarajan… - 2024 International …, 2024 - ieeexplore.ieee.org
The various challenges in the power grid with renewable energy systems are overcome
using the implementation of DC microgrids. This helps in obtaining a reliable and efficient …

An implementation of inertia control strategy for grid-connected solar system using moth-flame optimization algorithm

N Nandakumar, VATP Symon - Automatika, 2024 - Taylor & Francis
As the solar power system power system grows rapidly, inertia control strategy (ICS)
becomes crucial to enable stable grid integration. However, the existing ICS lacks of …