[HTML][HTML] Optimal day-ahead active and reactive power management for microgrids with high penetration of renewables

M Fresia, L Bordo, F Delfino, S Bracco - Energy Conversion and …, 2024 - Elsevier
In recent years, efforts have been made to increase the proportion of electricity demand met
by Renewable Energy Sources (RESs). Distributed Energy Resources (DERs) play a crucial …

[HTML][HTML] Energy management and power quality improvement of microgrid system through modified water wave optimization

S Choudhury, GT Varghese, S Mohanty, VR Kolluru… - Energy Reports, 2023 - Elsevier
A comparative study of energy management strategies and PQ improvement schemes for a
Fuel Cell, Battery, and SuperCapacitor integrated Microgrid system has been projected …

A leader supply-demand-based optimization for large scale optimal power flow problem considering renewable energy generations

F Daqaq, MH Hassan, S Kamel, AG Hussien - Scientific Reports, 2023 - nature.com
The supply-demand-based optimization (SDO) is among the recent stochastic approaches
that have proven its capability in solving challenging engineering tasks. Owing to the non …

A new Internet of Things based optimization scheme of residential demand side management system

BN Alhasnawi, BH Jasim, R Mansoor… - IET Renewable …, 2022 - Wiley Online Library
The steady increase in the energy demand and the growing carbon footprint has forced
electricity‐based utilities to shift from their use of non‐renewable energy sources to …

Monte Carlo simulation and a clustering technique for solving the probabilistic optimal power flow problem for hybrid renewable energy systems

MS Hashish, HM Hasanien, H Ji, A Alkuhayli, M Alharbi… - Sustainability, 2023 - mdpi.com
This paper proposes a new, metaheuristic optimization technique, Artificial Gorilla Troops
Optimization (GTO), for a hybrid power system with photovoltaic (PV) and wind energy (WE) …

[HTML][HTML] A cloud-fog computing framework for real-time energy management in multi-microgrid system utilizing deep reinforcement learning

M Mansouri, M Eskandari, Y Asadi, A Savkin - Journal of Energy Storage, 2024 - Elsevier
Uncertainties in a microgrid (MG) result in challenges in reaching the optimal production-
consumption balance via the energy management system (EMS). Therefore, multi-MG …

[HTML][HTML] Enhancing optimization accuracy in power systems: Investigating correlation effects on objective function values

AK ALAhmad, R Verayiah, A Ramasamy… - Results in Engineering, 2024 - Elsevier
This study addresses the critical yet often overlooked aspect of incorporating correlations
among input stochastic variables in power system planning and scheduling optimization …

Optimal power flow for bipolar DC microgrids

JO Lee, YS Kim, JH Jeon - International Journal of Electrical Power & …, 2022 - Elsevier
This paper proposes an optimal power flow (OPF) formulation for bipolar DC microgrids. The
bipolar DC microgrid can integrate distributed generations (DGs) and supply power to end …

[HTML][HTML] Probabilistic optimal power flow solution using a novel hybrid metaheuristic and machine learning algorithm

MAM Shaheen, HM Hasanien, SF Mekhamer, MH Qais… - Mathematics, 2022 - mdpi.com
This paper proposes a novel hybrid optimization technique based on a machine learning
(ML) approach and transient search optimization (TSO) to solve the optimal power flow …

Flexible and sustainable scheduling of electric power grids: A dynamic line and transformer rating based approach under uncertainty condition

M Akhlaghi, Z Moravej, A Bagheri - Sustainable Energy, Grids and Networks, 2023 - Elsevier
Integration of renewable and sustainable energies into the electric power grids has affected
planning and operation problems of the power system. Voltage and congestion as well as …