Distributed EMPC of multiple microgrids for coordinated stochastic energy management

Peng Kou, Deliang Liang and Lin Gao

Applied Energy, 2017, vol. 185, issue P1, 939-952

Abstract: The concept of multi-microgrids has the potential to improve the reliability and economic performance of a distribution system. To realize this potential, a coordination among multiple microgrids is needed. In this context, this paper presents a new distributed economic model predictive control scheme for the coordinated stochastic energy management of multi-microgrids. By optimally coordinating the operation of individual microgrids, this scheme maintains the system-wide supply and demand balance in an economical manner. Based on the probabilistic forecasts of renewable power generation and microgrid load, this scheme effectively handles the uncertainties in both supply and demand. Using the Chebyshev inequality and the Delta method, the corresponding stochastic optimization problems have been converted to quadratic and linear programs. The proposed scheme is evaluated on a large-scale case that includes ten interconnected microgrids. The results indicated that the proposed scheme successfully reduces the system wide operating cost, achieves the supply-demand balance in each microgrid, and brings the energy exchange between DNO and main grid to a predefined trajectory.

Keywords: Microgrid; Renewable energy; Distributed model predictive control; Stochastic optimization (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (37)

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DOI: 10.1016/j.apenergy.2016.09.092

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