Modeling and managing of micro grid connected system using Improved Artificial Bee Colony algorithm
作者： Kallol Roy , Kamal Krishna Mandal , Atis Chandra Mandal
DOI: 10.1016/J.IJEPES.2015.08.003
关键词: Artificial bee colony algorithm 、 Simulation 、 Micro grid 、 Turbine 、 Function (mathematics) 、 Battery storage 、 Engineering 、 Control theory 、 Fuel cost 、 Diesel generator 、 Photovoltaic system
摘要: Abstract This paper introduces an Improved Artificial Bee Colony algorithm for modeling and managing Micro Grid (MG) connected system. IABC differs from ABC because of its inclusion Gravitational search (GSA) in the scout bee phase. Hence, phase is substantially improved as gravitational constant GSA increases searching accuracy. As already works with memory, tackles drawbacks occur due to memory-less entertained by GSA. In proposed technique, optimal MG’s configuration determined based on load demand reducing fuel cost, emission factors, operating maintenance cost. By using input such Wind Turbine (WT), Photovoltaic array (PV), Fuel Cell (FC), (MT), Diesel Generator (DG) battery storage corresponding cost functions, method achieves required multi-objective function. The performance examined comparing other techniques that are recently reported literature. comparison results demonstrate superiority technique confirm potential solve problem.
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