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...

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Bibliographic Details
Published in:	2023 International Conference on Power System Technology (PowerCon) pp. 1 - 5
Main Authors:	Baole, Huang, Yun, Li, Bo, Gao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.09.2023
Subjects:	Artificial colony algorithm Costs Learning (artificial intelligence) Logisticstent chaotic mapping Microgrid Microgrids Optimal configuration Power supplies Power system stability Reliability engineering Search problems
Online Access:	Get full text
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Summary:	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