Mixed-integer exponential conic optimization for reliability enhancement of power distribution systems

被引:0
|
作者
Filabadi, Milad Dehghani [1 ]
Chen, Chen [1 ]
Conejo, Antonio [1 ,2 ]
机构
[1] Ohio State Univ, ISE, Columbus, OH 43210 USA
[2] Ohio State Univ, ECE, Columbus, OH USA
关键词
Mixed-integer exponential conic optimization; Mixed-integer programming; Distribution systems; Reliability; SWITCH PLACEMENT; SECTIONALIZING SWITCHES; NETWORK RECONFIGURATION; TIE-LINES; ALLOCATION; AUTOMATION; DEVICE; MODEL;
D O I
10.1007/s11081-023-09876-y
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper develops an optimization model for determining the placement of switches, tie lines, and underground cables in order to enhance the reliability of an electric power distribution system. A central novelty in the model is the inclusion of nodal reliability constraints, which consider network topology and are important in practice. The model can be reformulated either as a mixed-integer exponential conic optimization problem or as a mixed-integer linear program. We demonstrate both theoretically and empirically that the judicious application of partial linearization is key to rendering a practically tractable formulation. Computational studies indicate that realistic instances can indeed be solved in a reasonable amount of time on standard hardware.
引用
收藏
页码:2177 / 2203
页数:27
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