Scalable and practical multi-objective distribution network expansion planning

N.H. Luong, M.O.W. Grond, J.A. Poutré, La, P.A.N. Bosman

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

We formulate the distribution network expansion planning (DNEP) problem as a multi-objective optimization (MOO) problem with different objectives that distribution network operators (DNOs) would typically like to consider during decision making processes for expanding their networks. Objectives are investment cost, energy loss, total cost, and reliability in terms of the number of customer minutes lost per year. We consider two solvers: the widely-used Non-dominated Sorting Genetic Algorithm NSGA-II and the recently-developed Multiobjective Gene-pool Optimal Mixing Evolutionary Algorithm (MO-GOMEA). We also develop a scheme to get rid of the notoriously difficult-to-set population size parameter so that these solvers can more easily be used by non-specialists. Experiments are conducted on medium-voltage distribution networks constructed from real data. The results confirm that the MOGOMEA, with the scheme that removes the population size parameter, is a robust and user-friendly MOO solver that can be used by DNOs when solving DNEP.
Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE Power & Energy Society General Meeting, July 26–30 2015, Denver, Colorado
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1-5
DOIs
Publication statusPublished - 2015

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Electric power distribution
Planning
Multiobjective optimization
Sorting
Evolutionary algorithms
Costs
Energy dissipation
Genes
Genetic algorithms
Decision making
Electric potential
Experiments

Cite this

Luong, N. H., Grond, M. O. W., Poutré, La, J. A., & Bosman, P. A. N. (2015). Scalable and practical multi-objective distribution network expansion planning. In Proceedings of the 2015 IEEE Power & Energy Society General Meeting, July 26–30 2015, Denver, Colorado (pp. 1-5). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PESGM.2015.7286113
Luong, N.H. ; Grond, M.O.W. ; Poutré, La, J.A. ; Bosman, P.A.N. / Scalable and practical multi-objective distribution network expansion planning. Proceedings of the 2015 IEEE Power & Energy Society General Meeting, July 26–30 2015, Denver, Colorado. Piscataway : Institute of Electrical and Electronics Engineers, 2015. pp. 1-5
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Luong, NH, Grond, MOW, Poutré, La, JA & Bosman, PAN 2015, Scalable and practical multi-objective distribution network expansion planning. in Proceedings of the 2015 IEEE Power & Energy Society General Meeting, July 26–30 2015, Denver, Colorado. Institute of Electrical and Electronics Engineers, Piscataway, pp. 1-5. https://doi.org/10.1109/PESGM.2015.7286113

Scalable and practical multi-objective distribution network expansion planning. / Luong, N.H.; Grond, M.O.W.; Poutré, La, J.A.; Bosman, P.A.N.

Proceedings of the 2015 IEEE Power & Energy Society General Meeting, July 26–30 2015, Denver, Colorado. Piscataway : Institute of Electrical and Electronics Engineers, 2015. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Luong NH, Grond MOW, Poutré, La JA, Bosman PAN. Scalable and practical multi-objective distribution network expansion planning. In Proceedings of the 2015 IEEE Power & Energy Society General Meeting, July 26–30 2015, Denver, Colorado. Piscataway: Institute of Electrical and Electronics Engineers. 2015. p. 1-5 https://doi.org/10.1109/PESGM.2015.7286113