Optimal Sizing of Hybrid Microgrid System Using Chaotic-Reverse Learning and Elite-Guidance Artificial Bee Colony Algorithm

Microgrid is an important means of connecting distributed generation to the grid, which can effectively solve the reliability of power supply in remote areas and improving the new energy access ratio of the grid. On the premise of ensuring the balance and reliability of power supply and demand in mi...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:2023 International Conference on Power System Technology (PowerCon) s. 1 - 5
Hlavní autori: Baole, Huang, Yun, Li, Bo, Gao
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 21.09.2023
Predmet:
Artificial colony algorithm
Costs
Learning (artificial intelligence)
Logisticstent chaotic mapping
Microgrid
Microgrids
Optimal configuration
Power supplies
Power system stability
Reliability engineering
Search problems
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Microgrid is an important means of connecting distributed generation to the grid, which can effectively solve the reliability of power supply in remote areas and improving the new energy access ratio of the grid. On the premise of ensuring the balance and reliability of power supply and demand in microgrid systems, an optimization configuration model is established with the objective of minimizing the total net cash cost of the system, and an improved artificial bee colony search algorithm based on chaotic-reverse learning and elite-guidance was proposed. A case study was examined for a isolated island with wind turbines, photovoltaic, battery and diesel generators, the results shows that the proposed algorithm has advantages in accuracy, solution speed and stability.
DOI:10.1109/PowerCon58120.2023.10331039