Microgrids energy management systems: A critical review on methods, solutions, and prospects

MF Zia, E Elbouchikhi, M Benbouzid - Applied energy, 2018 - Elsevier
Renewable energy resources are currently being deployed on a large scale to meet the
requirements of increased energy demand, mitigate the environmental pollutants, and …

Energy management in microgrids with renewable energy sources: A literature review

YE García Vera, R Dufo-López, JL Bernal-Agustín - Applied Sciences, 2019 - mdpi.com
Renewable energy sources have emerged as an alternative to meet the growing demand for
energy, mitigate climate change, and contribute to sustainable development. The integration …

Statistical machine learning model for capacitor planning considering uncertainties in photovoltaic power

X Fu - Protection and Control of Modern Power Systems, 2022 - ieeexplore.ieee.org
New energy integration and flexible demand response make smart grid operation scenarios
complex and changeable, which bring challenges to network planning. If every possible …

Stochastic multi-objective optimal energy management of grid-connected unbalanced microgrids with renewable energy generation and plug-in electric vehicles

SF Zandrazavi, CP Guzman, AT Pozos, J Quiros-Tortos… - Energy, 2022 - Elsevier
Microgrids (MGs) contribute to the integration of renewable energy-based distributed
generation (DG) units and electric vehicles (EVs) in a smart, secure, sustainable, and …

Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources

A R. Singh, RS Kumar, M Bajaj, CB Khadse… - Scientific Reports, 2024 - nature.com
The growing integration of renewable energy sources into grid-connected microgrids has
created new challenges in power generation forecasting and energy management. This …

Stochastic energy management of microgrids during unscheduled islanding period

H Farzin, M Fotuhi-Firuzabad… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper deals with energy management of microgrids during unscheduled islanding
events, initiated by disturbances in the main grid. In these situations, the main challenge is …

Energy management systems for microgrids: Main existing trends in centralized control architectures

D Espín-Sarzosa, R Palma-Behnke, O Núñez-Mata - Energies, 2020 - mdpi.com
This paper presents both an extensive literature review and a qualitative and quantitative
study conducted on nearly 200 publications from the last six years (based on international …

Greedy energy management strategy and sizing method for a stand-alone microgrid with hydrogen storage

Y Xie, Y Ueda, M Sugiyama - Journal of Energy Storage, 2021 - Elsevier
This paper presents a greedy energy management strategy based on model predictive
control (MPC) for a stand-alone microgrid powered by photovoltaic (PV) arrays and …

Survey on AI and machine learning techniques for microgrid energy management systems

A Joshi, S Capezza, A Alhaji… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
In the era of an energy revolution, grid decentralization has emerged as a viable solution to
meet the increasing global energy demand by incorporating renewables at the distributed …

Optimal bilevel model for stochastic risk-based planning of microgrids under uncertainty

FS Gazijahani, J Salehi - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
The sharp fluctuations of load consumption and renewable power generation make
significant risks in microgrids (MG) planning problem. In order to handle the risk, this paper …