Open AccessManagement of Microgrid System Based on Optimization Algorithm
Author(s) -
Wafeeqa Abdulrazak Hasan,
Issa Ahmed Abed,
Diyah Kammel Shary
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1773/1/012006
Subject(s) - microgrid , firefly algorithm , schedule , renewable energy , computer science , wind power , mathematical optimization , scheduling (production processes) , electricity generation , population , algorithm , engineering , power (physics) , particle swarm optimization , mathematics , electrical engineering , physics , demography , quantum mechanics , sociology , operating system
Currently, due to the industrial progress in the world and the increase in population numbers led to the occurrence of an economic crisis as well as environmental pollution; for which there are microgrid advances capabilities and the use of renewable sources, for production the energy at high quality and lowest cost possible. So, there are many effective algorithms can be utilized for a purpose schedule energy production among available sources of energy in the microgrid system. A microgrid with two diesel generators, two wind turbines and three fuel-cell plants has been used as a case study. Firefly algorithm (FA) nature-inspired algorithms are among the most efficient algorithm for optimization, the proposed method used to optimize schedule generation in a microgrid for 24 hours at minimum cost. Moreover, the results are validated by performing various tests of the algorithm parameters and have proven that the method is efficiently done for scheduling optimum power generation in the microgrid.