Open AccessOptimal energy management of distributed generation in micro-grids using artificial bee colony algorithm
Author(s) -
Mehrdad Ahmadi Kamarposhti,
İlhami Çolak,
Koichi Eguchi
Publication year - 2021
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2021366
Subject(s) - microgrid , distributed generation , renewable energy , computer science , environmental pollution , electricity generation , grid , production (economics) , electricity , mathematical optimization , population , artificial bee colony algorithm , environmental economics , engineering , environmental science , power (physics) , economics , electrical engineering , artificial intelligence , mathematics , environmental protection , physics , geometry , demography , quantum mechanics , sociology , macroeconomics
The use of renewable energy sources in energy distribution networks as distributed generation sources for dispersed and low consumption loads in remote areas such as remote villages and islands with low population can be a proper solution for reducing economic costs, reducing environmental pollutions and increasing energy efficiency. The purpose of this paper is optimal operation management of micro-grids by considering the existing capacities in the electricity market. In fact the microgrid operator, which is responsible for the safe operation of the network, should consider a process for planning in the network that takes into account all benefits of micro-grid's components. In other words, enough reliability for generation resources in these networks should be created in order to reduce costs and environmental pollution from energy production. In this paper, the artificial bee colony (ABC) algorithm has been used to minimize the costs and environmental pollutions by providing the optimal production power of distributed generation.