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Keywords
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Stochastic programming, multimicrogrid systems, decentralized optimization, energy management, chanceconstrained programming, hydrogen storage system
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Abstract
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Multimicrogrid system is a novel notion in modern power systems as a result of developing renewable-based
generation units and accordingly microgrids in distribution networks. Their energy management might be challenging due
to presence of independent units. Thus, in this paper, a decentralized method for energy management of multimicrogrid
systems has been proposed. Decentralized methods can enhance the privacy of users and reduce the burden of calculations.
Alternating direction method of multipliers (ADMM) is selected as a decentralized approach which has the capability of
breaking problems with complicating constraints in order to facilitate the solving process. Using decentralized approach
not only reduces the burden of calculations, but also increases the privacy of entities. Wind turbines as renewable based
generators are assumed to participate in this system. To model the uncertainties of these units, chance-constrained
programming is employed. Also, due to clean output of hydrogen storage systems and fuel cells, the inclination for using
these systems has expanded. Simulations on the test case study demonstrate the applicability and performance of the
proposed methodology. Considering the reliability level as 0.9 results in 12, 989$ in the test case. By considering the
reliability level as 0.8, the operational cost becomes 11, 712$ which shows a reduction of 1277$ which is achieved by
jeopardizing the system reliability by 10%.
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