RECONFIGURATION OF DISTRIBUTION NETWORKS USING MATHEMATICAL AND HEURISTIC OPTIMIZATION METHODS
DOI:
https://doi.org/10.24867/13BE22KanjoKeywords:
distribution network reconfiguration, reduction of active power losses, mixed integer programming, branch exchange, simulated annealingAbstract
The aim of this paper is to present and compare three approaches to solve the problem of distribution network reconfiguration, which are based on mathematical and heuristic optimization methods. First, this paper presents mathematical optimization model for the distribution network reconfiguration which is based on the mixed integer programming. Then, the paper presents branch exchange method and the method based on simulated annealing, which represent heuristic and meta-heuristic methods used for the distribution network reconfiguration respectively. All presented methods are verified on the example of real distribution network and the results are presented and discussed in the paper.
References
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[8] https://neos-server.org
[2] V.Fathi, H.Seyedi, B.M.Ivatloo: Reconfiguration of distribution systems in the presence of distributed generation considering protective constraints and uncertainties; Int. Trans Electr Energ Systems; February 2020;pp. 1-25; DOI: 10.1002/2050-7038.12346
[3] N.Kovački: Operativno planiranje rekonfiguracije distributivnih mreža primenom višekriterijumske optimizacije; Doktorska disertacija, Fakultet tehničkih nauka, Novi Sad, 2017.
[4] D.Babić: Optimalna rekonfiguracija distributivne mreže; Master rad, Fakultet tehničkih nauka, Novi Sad, 2016.
[5] Ž.Popović: Planiranje razvoja distributivnih mreža u prisustvu neizvesnosti; Doktorska disertacija, Fakultet tehničkih nauka, Novi Sad, 2011.
[6] M.Stojkov, A.Softić, M.Atić: Optimization of switching conditions in distribution power subsystem; Tehnički Vjesnik, 2015; 22(5): 1297-1303. 10.17559/TV-20141211120022.
[7] Ching-Tyong Su, Chu-Sheng Lee: Network reconfiguration of distribution systems using improved mixed-integer hybrid differential evolution; Power Delivery, IEEE Transactions on. 18. 2003; 1022 - 1027. 10.1109/TPWRD.2003.813641.
[8] https://neos-server.org
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Published
2021-07-03
Issue
Section
Electrotechnical and Computer Engineering
