A framework for interconnected multi-microgrids (MMGs) optimal power dispatch at smart distribution grids is introduced with network uncertainties. In proposed work, microgrids (MGs) not only exchange power with main grid, but also operate in interconnected mode to increase network reliability. For each small scale energy resources (SSER) and load, a probabilistic model is applied to determine the optimal power sharing of interconnected MGs with minimum operating cost. The power interchange between MGs and the main grid is regulated based on the total operating cost regarding the sold or purchased power either by MGs or by main grid. The stochastic analysis of network variables is done considering optimization constraints and explained as probability distribution function (PDF) and cumulative distribution function (CDF). The imperialist competitive algorithm (ICA) and particle swarm optimization (PSO) algorithms are applied to optimize the object function, and obtained results are compared with Monte Carlo simulation (MCS) method. The results confirm that the optimal power sharing between MGs and main grid can decrease the operating cost of the smart distribution networks.
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Nikmehr et al. (2015) studied this question.
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