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Keywords
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Microgrids, Optimal Operation, Maximum
Likelihood Estimation, Uncertainty, Probability Distribution
Function.
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Abstract
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The future distribution network will be made of
interconnected distribution systems, so called microgrids.
Microgrids (MGs) provide an effective means of utilizing energy
from small-scale renewable resources. The probabilistic power
generation behavior renewable generations and load forecasting
errors are the most important uncertainties in MG operation.
The proposed methodology of this paper applies these
uncertainties into the operation problem in order to find the
practical solutions. So, in this research the economic operation of
Multi-MGs (MMGs) is formulated as a cost-based objective
function which is minimized using particle swarm optimization
(PSO) algorithm. As a result, the problem outputs must be
defined by Probability Distribution Functions (PDFs) in order to
achieve comprehensive analysis of the literature. Another
contribution of the paper, which rises the accuracy of the
analysis in operation discussion, is applying suitable fitting
criteria to select the best PDF for each obtained result based on
Akaike's information criterion (AIC).
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