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Self-Healing in Power Distribution Systems

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Smart Operation for Power Distribution Systems

Abstract

In this chapter, the characteristics and definitions related to the operation of self-healing-based systems in power distribution networks are presented. The operating philosophy of the system can vary according to the characteristics of each distribution system, as well as according to the operating policy adopted by each electrical utility company. With the great technological advance in measuring, automation, control, and telecommunication equipment, together with the reduction of acquisition and implementation costs, many investments were made in these areas, so that distribution systems became dynamic from the operational point of view. This technological advancement allows new models and new methodologies to be developed and applied by the distribution companies in order to improve their operational performance. In this context, techniques and philosophies for automatic reestablishment of electric power have been widely debated and tested by large electric power distribution companies. The operation, in a scenario requiring the application of multiple software to obtain information related to the network status, occurrences, and executed switchings, brings out the need for the operator to observe a series of requirements and its sequence of procedures, before performing switchings in the network and/or dispatching the teams.

Abstract

 In this chapter, the characteristics and definitions related to the operation of self-healing-based systems in power distribution networks are presented. The operating philosophy of the system can vary according to the characteristics of each distribution system, as well as according to the operating policy adopted by each electrical utility company.

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Ramos, M.J.S., Resener, M., Oliveira, P.H.E., Bernardon, D.P. (2018). Self-Healing in Power Distribution Systems. In: Bernardon, D., Garcia, V. (eds) Smart Operation for Power Distribution Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-93922-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-93922-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93921-6

  • Online ISBN: 978-3-319-93922-3

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