Optimization methods of distributed hybrid power systems with battery storage system: a systematic review

AM Barbosa, PR Junior, LCS Rocha… - Journal of Energy …, 2024 - Elsevier
The transition to sustainable energy matrices at a global level reinforces the importance of
investments in hybrid energy systems with battery storage to promote low-carbon energy …

[HTML][HTML] Survey of optimization techniques for microgrids using high-efficiency converters

D Peña, P Arevalo, Y Ortiz, F Jurado - Energies, 2024 - mdpi.com
Microgrids play a crucial role in modern energy systems by integrating diverse energy
sources and enhancing grid resilience. This study addresses the optimization of microgrids …

Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach

D Rekioua, N Mezzai, Z Mokrani, A Oubelaid… - Scientific Reports, 2024 - nature.com
This research paper discusses a wind turbine system and its integration in remote locations
using a hybrid power optimization approach and a hybrid storage system. Wind turbine …

Control of a combined battery/supercapacitor storage system for DC microgrid application

MR Babaei, A Ghasemi-Marzbali… - Journal of Energy …, 2024 - Elsevier
This study focuses on optimizing hybrid energy storage systems for improved energy
management in power networks. Combining batteries and supercapacitors, these systems …

Two stage robust economic dispatching of microgrid considering uncertainty of wind, solar and electricity load along with carbon emission predicted by neural network …

H Shen, H Zhang, Y Xu, H Chen, Z Zhang, W Li, X Su… - Energy, 2024 - Elsevier
The fluctuation characteristics of wind, solar and electric load in microgrid are predicted by
BP neural network. Based on forecast error, an economic robust optimization model is …

Applying neural networks for short and long-term hourly electricity consumption forecasting in universities: A simultaneous approach for energy management

P Chévez, I Martini - Journal of Building Engineering, 2024 - Elsevier
Predictive models for energy consumption are increasingly relevant for buildings with
medium-high demands, such as public buildings. These models enable effective energy …

Data-based power management control for battery supercapacitor hybrid energy storage system in solar DC-microgrid

Q Hu, S **e, J Zhang - Scientific Reports, 2024 - nature.com
This paper addresses the energy management control problem of solar power generation
system by using the data-driven method. The battery-supercapacitor hybrid energy storage …

[HTML][HTML] Adaptive Sliding-Mode Controller for a Zeta Converter to Provide High-Frequency Transients in Battery Applications

A Tobón, CA Ramos-Paja, ML Orozco-Gutíerrez… - Algorithms, 2024 - mdpi.com
Hybrid energy storage systems significantly impact the renewable energy sector due to their
role in enhancing grid stability and managing its variability. However, implementing these …

Enhancing performance of supercapacitor based hybrid energy storage system using RST controller in an islanded DC microgrid

AM Abdurraqeeb, AA Al-Shamma'a, A Alkuhayli… - Journal of Energy …, 2025 - Elsevier
The hybrid energy storage system (HESS) is an effective solution for managing power and
utilizing unpredictable renewable energy resources in isolated DC microgrids. This paper …

[HTML][HTML] A hybrid high-gain bipolar converter for LVDC microgrid with average current mode control

MA Al-Hysam, D Raisz - Energy Conversion and Management: X, 2025 - Elsevier
The increasing demand for renewable energy accounts for the DC microgrid concept,
facilitating the integration of photovoltaic (PV) modules and battery energy systems (BESS) …