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

被引:199
|
作者
Mashayekh, Salman [1 ]
Stadler, Michael [1 ]
Cardoso, Goncalo [1 ]
Heleno, Miguel [1 ]
机构
[1] Ernest Orlando Lawrence Berkeley Natl Lab, 1 Cyclotron Rd,MS 90-1121, Berkeley, CA 94720 USA
关键词
Multi-energy microgrid design; Power flow; Electrical network; Heating and cooling network; Mixed-integer linear program; DISTRIBUTED ENERGY-SYSTEMS; OPTIMAL-DESIGN; COMBINED HEAT; OPTIMIZATION; POWER; OPERATION; MODEL;
D O I
10.1016/j.apenergy.2016.11.020
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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. Published by Elsevier Ltd.
引用
收藏
页码:154 / 168
页数:15
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