A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids

Salman Mashayekh, Michael Stadler, Gonçalo Cardoso and Miguel Heleno

Applied Energy, 2017, vol. 187, issue C, 154-168

Abstract: Optimal microgrid design is a challenging problem, especially for multi-energy microgrids with electricity, heating, and cooling loads as well as sources, and multiple energy carriers. To address this problem, this paper presents an optimization model formulated as a mixed-integer linear program, which determines the optimal technology portfolio, the optimal technology placement, and the associated optimal dispatch, in a microgrid with multiple energy types. The developed model uses a multi-node modeling approach (as opposed to an aggregate single-node approach) that includes electrical power flow and heat flow equations, and hence, offers the ability to perform optimal siting considering physical and operational constraints of electrical and heating/cooling networks. The new model is founded on the existing optimization model DER-CAM, a state-of-the-art decision support tool for microgrid planning and design. The results of a case study that compares single-node vs. multi-node optimal design for an example microgrid show the importance of multi-node modeling. It has been shown that single-node approaches are not only incapable of optimal DER placement, but may also result in sub-optimal DER portfolio, as well as underestimation of investment costs.

Keywords: Multi-energy microgrid design; Power flow; Electrical network; Heating and cooling network; Mixed-integer linear program (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (85)

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DOI: 10.1016/j.apenergy.2016.11.020

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