A review on application of artificial intelligence techniques in microgrids

E Mohammadi, M Alizadeh… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
A microgrid can be formed by the integration of different components such as loads,
renewable/conventional units, and energy storage systems in a local area. Microgrids with …

[HTML][HTML] Review of energy management system approaches in microgrids

S Vuddanti, SR Salkuti - Energies, 2021 - mdpi.com
To sustain the complexity of growing demand, the conventional grid (CG) is incorporated
with communication technology like advanced metering with sensors, demand response …

Fuzzy logic-based energy management for isolated microgrid using meta-heuristic optimization algorithms

M Rodriguez, D Arcos–Aviles, W Martinez - Applied Energy, 2023 - Elsevier
Rural areas have increased directly with the growth of the world population. Although,
isolated rural areas do not have the energy infrastructure to supply essential services such …

[HTML][HTML] Development of fuzzy logic-based demand-side energy management system for hybrid energy sources

O Ibrahim, MS Bakare, TI Amosa, AO Otuoze… - Energy Conversion and …, 2023 - Elsevier
Demand-side energy management techniques, such as load shielding, shifting, and
delaying appliance operation during peak periods, are typically used to reduce electricity …

A review of controllers and optimizations based scheduling operation for battery energy storage system towards decarbonization in microgrid: Challenges and future …

MSH Lipu, S Ansari, MS Miah, K Hasan… - Journal of Cleaner …, 2022 - Elsevier
The microgrid connected with the battery energy storage system is a promising solution to
address carbon emission problems and achieve the global decarbonization goal by 2050 …

[HTML][HTML] Energy management and voltage control in microgrids using artificial neural networks, PID, and fuzzy logic controllers

KA Al Sumarmad, N Sulaiman, NIA Wahab, H Hizam - Energies, 2022 - mdpi.com
Microgrids, comprising distributed generation, energy storage systems, and loads, have
recently piqued users' interest as a potentially viable renewable energy solution for …

Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction

MF Roslan, MA Hannan, PJ Ker, RA Begum… - Applied Energy, 2021 - Elsevier
This study deals with the development of an optimal power scheduling controller for energy
management of distributed energy resources in the microgrid system. The developed …

Optimization strategies for Microgrid energy management systems by Genetic Algorithms

S Leonori, M Paschero, FMF Mascioli, A Rizzi - Applied Soft Computing, 2020 - Elsevier
Abstract Grid-connected Microgrids (MGs) have a key role for bottom-up modernization of
the electric distribution network forward next generation Smart Grids, allowing the …

An interval type-3 fuzzy system and a new online fractional-order learning algorithm: theory and practice

A Mohammadzadeh, MH Sabzalian… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The main reason of the extensive usage of the fuzzy systems in many branches of science is
their approximation ability. In this paper, an interval type-3 fuzzy system (IT3FS) is proposed …

Power electronics contribution to renewable energy conversion addressing emission reduction: Applications, issues, and recommendations

MA Hannan, MSH Lipu, PJ Ker, RA Begum… - Applied energy, 2019 - Elsevier
Global energy consumption is increasing at a dramatic rate and will likely continue to do so.
The major source of energy is still fossil fuel, which has resulted in the well-documented …