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MIQP model and improvement heuristic for power loss minimization in distribution system with network reconfiguration
Journal of Heuristics ( IF 1.1 ) Pub Date : 2019-08-01 , DOI: 10.1007/s10732-019-09421-0
Karla B. Freitas , Márcio S. Arantes , Claudio F. M. Toledo , Alexandre C. B. Delbem

The problem of reconfiguration in electrical power distribution systems deals with changes in the network topology using maneuvers switches. This is an optimization problem where one of the goals is to minimize losses following constraints such as faults isolation, load feeders balancing and voltage profile improvement. The present paper solves such problem by introducing a mixed-integer quadratic program (MIQP) model, which aims to return optimal configurations. An improvement heuristic, based on the solution of MIQP sub models, is also introduced. The MIQP model and improvement heuristic are validated over eight benchmark power systems, and the results achieved are compared against those recently reported by literature. A new set of 10 large sized bus-systems is also defined as replication of a benchmark bus system from literature. The computational results show that our MIQP model and heuristic are able to find optimal configurations for those benchmark systems, as well as to provide good quality solution for the large sized bus-systems within a reduced computational time.

中文翻译:

通过网络重新配置的MIQP模型和改进启发式方法,可最大程度地降低配电系统的功耗

配电系统中的重新配置问题使用操纵开关来应对网络拓扑的变化。这是一个优化问题,目标之一是使诸如故障隔离,负载馈线平衡和电压分布改善之类的约束条件下的损失最小化。本文通过引入混合整数二次程序(MIQP)模型来解决此问题,该模型旨在返回最佳配置。还介绍了一种基于MIQP子模型解决方案的改进启发式方法。MIQP模型和改进启发式方法已在八个基准电源系统上得到验证,并将所获得的结果与最近文献报道的结果进行了比较。一组新的10个大型总线系统也被定义为从文献中复制基准总线系统。
更新日期:2019-08-01
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