Abstract : The Electric Utility Industry all around the world is facing numerous challenges, which include amongst others, the optimal use of expensive assets and resources and the maintenance of electric grid and customer quality service levels. The optimal placement of switches in electrical distribution networks will allow the control over service quality levels and the maximization of investments in equipments. This work proposes a genetic evolutionary algorithm NSGA-II for the optimization between the maximal return of investments on existing assets, while maintaining the quality of service provided. The trade off between total cost of investments and service quality levels SAIDI (System Average Interruption Duration Index) and SAIFI (System Average Interruption Frequency Index) is analyzed, to choose the optimal placement of switches in the distribution electrical networks. The proposed method was tested with a Portuguese real distribution network. The obtained results allowed to verify the performance of the adopted approach.
Luis M. Camarinha-Matos; Nuno S. Barrento; Ricardo Mendonça. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-423, pp.380-387, 2014, Technological Innovation for Collective Awareness Systems. 〈10.1007/978-3-642-54734-8_42〉
https://hal.inria.fr/hal-01274801
Contributeur : Hal Ifip
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Soumis le : mardi 16 février 2016 - 11:25:55
Dernière modification le : jeudi 12 mai 2016 - 10:38:29
Document(s) archivé(s) le : samedi 12 novembre 2016 - 21:43:55
António Pombo, Vitor Pires, João Pina. Application of NSGA-II Algorithm to Multiobjective Optimization of Switching Devices Placement in Electric Power Distribution Systems. Luis M. Camarinha-Matos; Nuno S. Barrento; Ricardo Mendonça. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-423, pp.380-387, 2014, Technological Innovation for Collective Awareness Systems. 〈10.1007/978-3-642-54734-8_42〉. 〈hal-01274801〉
