Optimization of a photovoltaic/wind/battery energy-based microgrid in distribution network using machine learning and fuzzy multi-objective improved Kepler optimizer algorithms
Abstract In this study, a fuzzy multi-objective framework is performed for optimization of a hybrid microgrid (HMG) including photovoltaic (PV) and wind energy sources linked with battery energy storage (PV/WT/BES) in a 33-bus distribution network to minimize the cost of energy losses, minimizing th...
Saved in:
| Main Authors: | Fude Duan, Mahdiyeh Eslami, Mohammad Khajehzadeh, Ali Basem, Dheyaa J. Jasim, Sivaprakasam Palani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-06-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-64234-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A multi-objective improved horse herd optimizer based on convex lens imaging for stochastic optimization of wind energy resources in distribution networks considering reliability and uncertainty
by: Fude Duan, et al.
Published: (2024-11-01) -
Hybrid stochastic and robust optimization of a hybrid system with fuel cell for building electrification using an improved arithmetic optimization algorithm
by: Fude Duan, et al.
Published: (2025-01-01) -
Optimal Sizing of Isolated Microgrid Containing Photovoltaic/Photothermal/Wind/Diesel/Battery
by: Guo Zhao, et al.
Published: (2021-01-01) -
Modeling and performance evaluation of hybrid photovoltaic thermal, wind, and battery microgrids using optimization and dynamic simulation
by: Etoju Jacob, et al.
Published: (2025-04-01) -
An information gap decision theory and improved gradient-based optimizer for robust optimization of renewable energy systems in distribution network
by: Fude Duan, et al.
Published: (2025-01-01)