Abstract
The main purpose of a micro energy grid (MEG) is to supply specific local loads in certain remote geographical areas or zones with economical and efficient operation using distributed energy resources, which include generation [such as photovoltaic (PV) solar cells, wind energy, fuel cells, batteries, and diesel engines] as well as energy storage. MEGs can have islanding operation away from the power utility grid, or they can be in other forms, including grid-connected mode, which has a significant impact and effect. Lately, modern heuristic optimization techniques have received increasing attention from the various MEG application areas. Various controllers—especially adaptive controllers—can provide the most effective control strategies for MEGs based on generation and load profiles. However, effective control strategies can only be achieved via effective optimization algorithms. There is recent research that is based on heuristic optimization methods for realizing the global minimum of the problem with keeping acceptable convergence rate.
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