Chance constrained programming based optimal network reconfiguration in smart grid

Shunqi Zeng, Zhao Xu, Fushuan Wen, Loi Lei Lai

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


The network reconfiguration during power system restoration after blackouts usually takes a long and complex procedure. To address the uncertainties in the restoration steps and time involved, a CCP (Chance Constrained Programming) based method for network reconfiguration scheme optimization is proposed in this paper. The proposed method can generate the best restoration sequence to maximize the benefit of the reconfiguration scheme by taking into account the number of restarted generator-nodes and the cost of power outage saved by the load restoration accordingly. The Differential Evolution (DE) is employed to solve for the optimal solution subject to special requirements of the network reconfiguration operation. A numerical example over the New England 39-bus power system is conducted to demonstrate the effectiveness of the proposed method.
Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 14th International Conference on Industrial Informatics, INDIN 2016
Number of pages7
ISBN (Electronic)9781509028702
Publication statusPublished - 13 Jan 2017
Event14th IEEE International Conference on Industrial Informatics, INDIN 2016 - Palais des Congres du Futuroscope, Poitiers, France
Duration: 19 Jul 201621 Jul 2016


Conference14th IEEE International Conference on Industrial Informatics, INDIN 2016


  • chance constrained programming
  • Differential Evolution
  • network reconfiguration
  • Power system restoration

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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