A Bi-level Model for the Resilient Operation of Distribution Systems using a Matheuristic Nested Decomposition

被引:0
作者
Gomes, Leonardo L. [1 ]
Giraldo, Juan S. [2 ]
Castro, Carlos A. [1 ,3 ]
机构
[1] Univ Estadual Campinas, Sch Elect & Comp Engn, Campinas, Brazil
[2] Univ Twente, Fac Elect Engn Math & Comp Sci, Enschede, Netherlands
[3] Pontifical Catholic Univ Campinas, Sch Elect Engn, Campinas, Brazil
来源
2022 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES, SEST | 2022年
关键词
Bi-level optimization; demand side management; optimal power flow; reconfiguration; resilience; RECONFIGURATION;
D O I
10.1109/SEST53650.2022.9898450
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Matheuristic is a hybrid method that combines metaheuristics with classical mathematical methods to benefit from their respective features. This paper presents a novel bi-level matheuristic nested decomposition approach for the resilience optimization of distribution systems. The proposed methodology uses a dedicated bioinspired technique based on artificial immune systems and a classical deterministic optimization method combined in a matheuristic nested decomposition approach. The model is cast as a mixed-integer nonlinear programming problem, aiming to maximize the load supplied through optimal feeder reconfiguration and optimal power flow, for example, after a lack of generation event caused by an extreme event. One of the main features of the proposed technique is that the metaheuristic parameters are not user-defined; instead, they are set automatically based on the system's characteristics. Results obtained from three different strategies are assessed, highlighting the potential of the proposed methodology as the size of the problem increases compared to a metaheuristic algorithm and classical mathematical programming.
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页数:6
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